A distributed collaborative control method for a multi-container active noise reduction system

Abstract

The application discloses a kind of distributed collaborative control methods of multi-container active noise reduction system, it is related to energy storage power station noise control technical field, including the spatial position of each active noise reduction controller, target frequency error signal and drive signal are collected, and collaborative state data are established;According to the establishment of adjacent controller pair, the coherence degree of error signal and cross-controller drive signal is screened candidate interference source;Recognizable balance microphase shift is applied to the target frequency drive phase of candidate interference source, and near-field phase adjustment amount is formed;According to the drive amplitude of each active noise reduction controller, drive phase and the propagation relationship to sound field prediction point, calculate the synthesized complex sound pressure;When the synthesized complex sound pressure meets the far-field in-phase superposition condition, with the maximum synthesized sound pressure reduction as the target, solve collaborative phase shift amount;Execute near-field phase adjustment amount and collaborative phase shift amount, reacquire interference index, and keep, back or update phase control parameters according to the change before and after adjustment.

Description

Technical Field

[0001] This invention relates to the field of noise control technology for energy storage power stations, specifically a distributed collaborative control method for a multi-container active noise reduction system. Background Technology

[0002] In recent years, as electrochemical energy storage power stations have developed towards larger capacity, modularity, and containerization, battery containers, power conversion equipment, and supporting heat dissipation devices are typically arranged at high density, creating a multi-source coupled sound field within the site due to low-frequency electromagnetic noise and fan aerodynamic noise. For noise control at the outlet of a single container, existing technologies have gradually adopted a combination of silencing structures and active noise control. This involves acquiring the original noise through a reference microphone, generating a reverse drive signal through an adaptive controller, and then using a secondary speaker to generate a canceling sound field. An error microphone is used to feedback residual noise. This type of active noise reduction technology can form a relatively stable closed-loop control in the local area of ​​a single device, and the related algorithms have gradually expanded from traditional single-channel control such as LMS and FxLMS to multi-channel and networked control.

[0003] However, when multiple active noise cancellation devices operate simultaneously in containers, existing control methods, which primarily aim to minimize the error of a single unit, rarely consider the acoustic interactions between different active noise cancellation controllers. Low-frequency sound waves generated by adjacent secondary loudspeakers may enter the error detection zone of other containers, causing other controllers to mistakenly identify the incoming secondary sound field as their own residual noise and continue adjusting their control parameters. Furthermore, multiple devices may be simultaneously excited by the same low-frequency noise source. Relying solely on frequency consistency, error amplitude, or ordinary correlation makes it difficult to distinguish between "synchronous changes caused by a common sound source" and "acoustic crosstalk formed by one controller directly affecting another," thus easily leading to inaccurate judgment of the interference source. Simultaneously, each active noise cancellation device typically optimizes around its own local error point, lacking a unified calculation of the amplitude and phase relationships of sound waves from different silencer outlets after propagation to the plant boundary. Even if multiple secondary sound sources maintain normal noise cancellation states, they may still form in-phase reinforcement at some far-field locations. If only fixed phase compensation or single-point sound pressure adjustment is used, the original sound pressure peak may be shifted to other evaluation locations. Furthermore, if there is a lack of a retest, rollback, and parameter update mechanism based on actual interference indicators after multi-machine coordinated adjustment, it is difficult to continuously verify the phase shift calculated by the model with the actual sound field changes, which is not conducive to coping with changes in operating conditions and sound propagation conditions. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by this invention is that existing multi-container active noise reduction control methods have the following problems: it is difficult to accurately screen the actual interference sources from multiple adjacent controllers; it is difficult to distinguish between the statistical correlation formed by common noise excitation and the direct acoustic coupling between controllers; the sound waves from multiple active noise reduction outlets may form in-phase superposition in the far field and lack multi-point cooperative constraints; and how to jointly identify, coordinate phase and correct the near-field cross interference and far-field sound pressure superposition while keeping each active noise reduction controller operating independently.

[0006] To address the aforementioned technical problems, this invention provides the following technical solution: a distributed cooperative control method for a multi-container active noise reduction system, comprising: acquiring the spatial position, target frequency error signal, and drive signal of each active noise reduction controller to establish cooperative state data; establishing neighboring controller pairs based on spatial position, and screening candidate interference sources based on the coherence of the error signal and the cross-controller drive signal; applying a identifiable balanced micro-phase shift to the target frequency drive phase of the candidate interference sources, determining the directed phase response based on the synchronization error response, and forming a near-field phase adjustment amount; calculating the synthetic complex sound pressure at each sound field prediction point based on the drive amplitude, drive phase, and propagation relationship to the sound field prediction point of each active noise reduction controller; when the synthetic complex sound pressure satisfies the far-field in-phase superposition condition, solving for the cooperative phase shift amount of the corresponding active noise reduction controller with the maximum reduction of synthetic sound pressure as the objective; executing the near-field phase adjustment amount and the cooperative phase shift amount, re-acquiring the interference index, and retaining, reverting, or updating the phase control parameters based on the changes before and after adjustment.

[0007] As a preferred embodiment of the distributed collaborative control method for the multi-container active noise reduction system described in this invention, the establishment of collaborative state data includes: each active noise reduction controller, while maintaining its own active noise reduction operation, collecting error signals and drive signals, and extracting the frequency domain state at the corresponding target frequency for coherent judgment and sound field calculation; obtaining the drive amplitude and drive phase at the corresponding target frequency from the drive signal, and establishing a correlation between the frequency domain state of the error signal, the frequency domain state of the drive signal, and the spatial position of the corresponding muffler outlet; the central coordinator organizes the correlated data according to the active noise reduction controller and the target frequency, and updates the corresponding data after a new state arrives, so that the states of different active noise reduction controllers at the same target frequency participate in near-field coherent judgment and far-field sound field calculation respectively.

[0008] As a preferred embodiment of the distributed collaborative control method for the multi-container active noise reduction system described in this invention, the method for screening candidate interference sources includes: determining adjacent controller pairs based on the spatial distance between the muffler outlets corresponding to different active noise reduction controllers; for any adjacent controller pair, reading the frequency domain state of the error signal of one active noise reduction controller and the frequency domain state of the drive signal of another active noise reduction controller at the same target frequency, and forming a coherence index based on the cross-correlation spectrum relationship and the respective power relationship of the two signals; comparing the coherence index with a preset coherence condition, and when the coherence index meets the preset coherence condition, marking the active noise reduction controller providing the drive signal as a candidate interference source, and associating the corresponding interfered controller and the target frequency with the candidate interference source as input for directional acoustic coupling confirmation.

[0009] As a preferred embodiment of the distributed collaborative control method for the multi-container active noise reduction system described in this invention, the step of determining the directional phase response and forming the near-field phase adjustment includes: a central coordinator, based on candidate interference sources and corresponding target frequencies, causing the corresponding driving phase to alternately generate micro-phase shifts in opposite directions and in an overall balanced manner around the current phase while the candidate interference sources maintain their own active noise reduction operation; the interference-affected controller synchronously acquires the error signal changes corresponding to the micro-phase shifts and matches the error signal changes with the timing of the micro-phase shifts of the candidate interference sources; when a synchronous response satisfying preset conditions is formed between the error signal changes and the corresponding micro-phase shifts, it is confirmed that there is directional acoustic coupling between the candidate interference sources and the interference-affected controller, and the phase adjustment direction that reduces the error is determined based on the error changes corresponding to the micro-phase shifts in opposite directions; the near-field phase adjustment is formed according to the phase adjustment direction, and the near-field phase adjustment is associated with the corresponding candidate interference sources and target frequencies before being output.

[0010] As a preferred embodiment of the distributed collaborative control method for the multi-container active noise reduction system described in this invention, the calculation of the synthetic complex sound pressure at each sound field prediction point includes: determining the propagation distance from each active noise reduction controller to the corresponding sound field prediction point based on the spatial position of the silencer outlet corresponding to each active noise reduction controller and the position of each sound field prediction point; for the same target frequency, reading the driving amplitude and driving phase of each active noise reduction controller, determining the sound pressure contribution of each active noise reduction controller based on the correspondence between the driving amplitude and the sound pressure amplitude, and correcting the amplitude and propagation phase of the corresponding sound pressure contribution according to the propagation distance; and performing complex superposition of the sound pressure contributions reaching the same sound field prediction point according to the amplitude and phase relationship to obtain the synthetic complex sound pressure at the corresponding target frequency, and forming corresponding synthetic complex sound pressure results for multiple sound field prediction points respectively.

[0011] As a preferred embodiment of the distributed cooperative control method for the multi-container active noise reduction system described in this invention, the method for solving the cooperative phase shift of the corresponding active noise reduction controller includes: establishing a corresponding reference sound pressure based on the individual sound pressure contribution of each active noise reduction controller at the same sound field prediction point, and comparing the synthesized complex sound pressure with the corresponding reference sound pressure; when at least one sound field prediction point satisfies the preset far-field in-phase superposition condition, the phase shift of the active noise reduction controller participating in the superposition of the sound field at the corresponding target frequency is taken as the parameter to be adjusted; the candidate phase shift of each active noise reduction controller is updated within the preset phase shift range, and the synthesized complex sound pressure of multiple sound field prediction points is recalculated based on the updated phase, with the maximum reduction in synthesized sound pressure among multiple sound field prediction points as the basis for phase shift adjustment, to obtain the cooperative phase shift of the corresponding target frequency.

[0012] As a preferred embodiment of the distributed collaborative control method for the multi-container active noise reduction system described in this invention, the following steps are included: retaining, reverting, or updating the phase control parameters based on changes before and after adjustment, including the central coordinator sending the near-field phase adjustment amount and the collaborative phase shift amount to the corresponding active noise reduction controller, so that the driving phase of the corresponding target frequency is adjusted according to the phase control parameters; after adjustment, the error signal state and driving signal state corresponding to the near field, as well as the driving amplitude and driving phase corresponding to the far field, are reacquired, and the near-field interference index and the composite complex sound pressure of multiple sound field prediction points are re-determined respectively; when the corresponding interference index improves, the current phase control parameters are retained; when the corresponding interference index deteriorates, the phase state before adjustment is restored, and the near-field phase adjustment amount or collaborative phase shift amount is re-formed according to the updated state; when both the near-field interference index and the far-field in-phase superposition condition meet the preset stop condition, the current collaborative adjustment ends, and the corresponding adjustment process is re-entered when the state meets the interference trigger condition again.

[0013] As a preferred embodiment of the distributed collaborative control system of the multi-container active noise reduction system described in this invention, the system includes: a state screening module, a sound field control module, and a closed-loop correction module; the state screening module is used to collect the spatial position, target frequency error signal, and drive signal of each active noise reduction controller to establish collaborative state data; establish neighboring controller pairs based on spatial position, and screen candidate interference sources based on the coherence of the error signal and the cross-controller drive signal; the sound field control module is used to apply a identifiable balanced micro-phase shift to the target frequency drive phase of the candidate interference sources, determine the directed phase response based on the synchronization error response, and form a near-field phase adjustment amount; calculate the synthetic complex sound pressure at each sound field prediction point based on the drive amplitude, drive phase, and propagation relationship to the sound field prediction point of each active noise reduction controller; the closed-loop correction module is used to solve the collaborative phase shift amount of the corresponding active noise reduction controller with the maximum synthetic sound pressure reduction as the target when the synthetic complex sound pressure satisfies the far-field in-phase superposition condition; execute the near-field phase adjustment amount and the collaborative phase shift amount, reacquire the interference index, and retain, roll back, or update the phase control parameters according to the changes before and after adjustment.

[0014] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program as a step in implementing a distributed collaborative control method for a multi-container active noise reduction system.

[0015] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of a distributed collaborative control method for a multi-container active noise reduction system.

[0016] The beneficial effects of this invention are as follows: The distributed cooperative control method for a multi-container active noise reduction system provided by this invention transforms the multi-machine noise relationship, which originally only reflected statistical correlation, into a directional acoustic coupling relationship that can be verified through active perturbation by coherently screening the cross-controller error signal and the drive signal, and further applying identifiable positive and negative balanced micro-phase shifts to the candidate relationship. Simultaneously, it directly obtains the phase adjustment direction that can reduce the perturbation error, reducing misjudgment of interference sources caused by common low-frequency noise sources and repeated trial adjustments. By mapping the actual drive state and acoustic propagation relationship of multiple active noise reduction outlets to the complex sound pressure of multiple prediction points, and using the synthetic sound pressure of the most unfavorable prediction point as the basis for cooperative phase shift, far-field coherent superposition can be suppressed while maintaining independent real-time noise reduction for each controller. Combined with an incremental reference phase update and adjustment-re-measurement mechanism, confirmed effective phase changes are solidified and not repeatedly accumulated, allowing continuous verification of model prediction results and actual acoustic responses, reducing the risk of local noise reduction improvement but deterioration of boundary noise and phase drift caused by multiple rounds of adjustment. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 The overall flowchart of a distributed collaborative control method for a multi-container active noise reduction system provided by the present invention is shown.

[0019] Figure 2 A schematic diagram of a computer device provided by the present invention. Detailed Implementation

[0020] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0021] Reference Figure 1 As an embodiment of the present invention, a distributed cooperative control method for a multi-container active noise reduction system is provided, comprising: S1: Collect the spatial position, target frequency error signal and drive signal of each active noise cancellation controller to establish collaborative state data.

[0022] Furthermore, establishing collaborative state data includes each active noise cancellation controller collecting error signals and drive signals while maintaining its own active noise cancellation operation, and extracting the frequency domain state at the corresponding target frequency for coherent judgment and sound field calculation; obtaining the drive amplitude and drive phase at the corresponding target frequency from the drive signal, and establishing a correlation between the frequency domain state of the error signal, the frequency domain state of the drive signal, and the spatial position of the corresponding muffler outlet; the central coordinator organizes the correlated data according to the active noise cancellation controller and the target frequency, and updates the corresponding data after a new state arrives, so that the states of different active noise cancellation controllers at the same target frequency participate in near-field coherent judgment and far-field sound field calculation respectively.

[0023] It should be noted that one specific scheme for establishing collaborative state data includes, while maintaining continuous operation of the local active noise cancellation process, each active noise cancellation controller synchronously acquiring the error signal output by the error microphone and the drive signal corresponding to the secondary speaker. The collaborative state data specifically includes the spatial position of each active noise cancellation controller at the muffler outlet, the frequency domain data of the error signal at the target frequency, the frequency domain data of the drive signal, the drive amplitude, and the drive phase.

[0024] Let the number of active noise reduction controllers participating in the collaborative control be... , No. The index corresponding to each active noise cancellation controller is: ,in Predetermined The target frequency that requires collaborative processing, the first The target frequency is denoted as ,in , For target frequency index, This refers to the number of target frequencies that need to be processed collaboratively. The target frequencies are determined based on the discrete low-frequency noise that needs to be suppressed during the operation of the site, and may include the fundamental frequency of the main equipment noise and its corresponding harmonics.

[0025] Each active noise reduction controller uses a unified time base to divide the observation period. In one specific implementation, the sampling frequency can be set to 16kHz, forming a collaborative observation period every 1 second. For the error signal and drive signal acquired within an observation period, they are divided into multiple spectrum analysis subframes according to the same time boundary. Discrete Fourier Transform or Fast Fourier Transform is performed on each subframe, and the target frequency is extracted. The corresponding complex spectrum data. In the subframe, the first The complex spectrum of the error signal of an active noise cancellation controller is denoted as: The complex spectrum of the driving signal is denoted as ,in This indicates the subframe index within the current observation period.

[0026] Simultaneously, the driving signal for the complete observation period is transformed in the frequency domain to extract the target frequency. Corresponding driving complex spectrum ,Pick The modulus as the driving amplitude ,Pick The complex phase angle is used as the driving phase. Among them, the subframe complex spectrum and Reserved for cross-controller coherent computation. and It participates in sound field prediction and phase control.

[0027] No. The position of the active noise cancellation controller corresponding to the center of the muffler outlet is represented as follows: All spatial locations are recorded using the same station coordinate system. The central coordinator follows the controller index. Target frequency And observation period identifiers, spatial location, , , as well as Establish the association and set the current driving phase. Registered as the reference phase for this round of coordinated adjustment .

[0028] To ensure the comparability of frequency domain data from different active noise cancellation controllers, data participating in the same cross-controller calculation uses the same observation period. If the data for a particular active noise cancellation controller is not fully available in the current observation period, the data from the previous observation period of the corresponding active noise cancellation controller is not mixed with the data from the current observation period of other active noise cancellation controllers for coherent judgment. Instead, the corresponding calculation is performed only after the complete data is obtained. Each active noise cancellation controller still performs its own active noise cancellation according to its own real-time control cycle, while the central coordinator reads the collaborative status data according to a relatively slower observation cycle. This maintains a time-scale separation between the local real-time noise cancellation process and the multi-controller collaborative processing process.

[0029] S2: Establish neighboring controller pairs based on spatial location, and screen candidate interference sources based on the coherence between the error signal and the cross-controller drive signal.

[0030] Furthermore, the screening of candidate interference sources includes determining neighboring controller pairs based on the spatial distance between the silencer outlets corresponding to different active noise cancellation controllers; for any neighboring controller pair, reading the frequency domain state of the error signal of one active noise cancellation controller and the frequency domain state of the drive signal of another active noise cancellation controller at the same target frequency, and forming a coherence index based on the cross-correlation spectrum relationship and the respective power relationship of the two signals; comparing the coherence index with preset coherence conditions, and when the coherence index meets the preset coherence conditions, marking the active noise cancellation controller providing the drive signal as a candidate interference source, and associating the corresponding interfered controller and the target frequency with the candidate interference source as input for directional acoustic coupling confirmation.

[0031] It should be noted that one approach to screening candidate interference sources based on the coherence between the error signal and the cross-controller drive signal specifically involves, after obtaining the spatial location, frequency domain state of the error signal, and frequency domain state of the drive signal under a unified time base for each active noise cancellation controller, further determining whether there are noteworthy near-field correlations between different controllers. Considering that multiple devices may be simultaneously subjected to the same low-frequency noise excitation, simply comparing the spectral peak value or error amplitude is insufficient to distinguish between external common excitation and direct crosstalk between the controllers. Therefore, the analysis scope is first narrowed down by combining spatial proximity relationships, and then the coherence between the cross-controller drive signal and the error signal is used to screen possible interference sources.

[0032] The central coordinator calculates the spatial distance between the muffler outlets based on the spatial location of the corresponding active noise cancellation controllers, and ensures that the spatial distance does not exceed a preset proximity threshold. The two active noise cancellation controllers are established as a proximity controller pair. The proximity distance threshold determines the range of the active noise cancellation controllers that need to perform near-field cross-interference analysis, and does not participate in the far-field synthesized sound pressure calculation. It can be determined based on the actual arrangement distance between containers within the terminal.

[0033] For active noise cancellation controller and active noise cancellation controller Any pair of neighboring controllers, under the same observation period and the same target frequency. Next, read the active noise cancellation controller. Error signal subframe complex spectrum and active noise cancellation controller The complex spectrum of the driving signal subframe .

[0034] In each valid subframe The arithmetic mean was determined as the power spectrum estimate of the error signal. In each valid subframe The arithmetic mean was determined as the self-power spectrum estimate of the driving signal. Then, for each corresponding subframe... and Multiplying the complex conjugates of the products and averaging the resulting complex products yields the cross-power spectrum estimate. .

[0035] Calculate the cross-controller coherence metrics based on the three spectral quantities mentioned above: in, Indicates active noise cancellation controller Drive signals and active noise cancellation controller The error signal at the target frequency The degree of coherence below, This represents the estimated cross-power spectrum of the two components. Indicates active noise cancellation controller The error signal self-power spectrum estimate, Indicates active noise cancellation controller The power spectrum estimate of the driving signal. (Symbol) This indicates that the current focus is on active noise cancellation controllers. Drive output and active noise cancellation controller The directional relationship between the error response and the error response.

[0036] when or When the value is 0, no normalization calculation is performed, and the corresponding active noise reduction controller relationship is not marked as a candidate interference relationship. When both self-power spectra have valid values, With coherence threshold Comparison. In one specific implementation, it can be... Set to 0.7, when At that time, the active noise cancellation controller will Marked as active noise cancellation controller At the target frequency Candidate interference sources are listed below and saved. , , The correlation between the relevant indicators and the corresponding coherent indicators.

[0037] In this step, high coherence is used only as a candidate selection criterion, not as a direct conclusion that a defined acoustic interference path has been formed. This is because multiple active noise cancellation controllers may be simultaneously excited by the same external low-frequency sound source, resulting in high synchronization between the drive signal of one active noise cancellation controller and the error signal of another. Therefore, the candidate relationships output in this step limit the objects requiring active acoustic coupling verification. Adjacent controller pairs are limited based on the spatial location of the muffler outlet. Then, the target frequency coherence between the error signal of one controller and the drive signal of another controller is used to screen candidate interference sources. This is because when multiple active noise cancellation devices are working simultaneously, simply observing the error amplitude of a single device cannot determine which adjacent device the external sound wave originates from. Furthermore, simply comparing the spectral peaks of two devices can easily misinterpret the synchronous changes caused by a common external noise source as direct crosstalk. This invention first eliminates controller combinations outside the near-field analysis scope by spatial distance. Then, under the same observation period and target frequency, the spectrum of the error signal of the observed controller is compared across devices with the spectrum of the drive signal of another controller. A normalized coherence index is formed by the cross-power spectrum and the self-power spectra of both controllers. This approach yields not simply the noise level, but a numerical relationship indicating whether the actual output change of one controller is synchronized with the residual error change of another controller over a long period. When the coherence index reaches a set condition, only the corresponding drive controller is listed as a candidate interference source, without immediately assuming a direct acoustic path exists. This preserves the possibility of spurious correlations caused by shared low-frequency noise excitation in the processing logic. Consequently, the interference relationships that would otherwise require checking each device individually are reduced to a small number of highly correlated adjacent controller pairs, and the probability of misidentifying interference sources based solely on frequency consistency or high sound pressure levels is lowered.

[0038] S3: Apply a recognizable balanced micro-phase shift to the target frequency driving phase of the candidate interference source, determine the directional phase response based on the synchronization error response, and form a near-field phase adjustment amount.

[0039] Furthermore, determining the directed phase response and forming the near-field phase adjustment amount includes the central coordinator, based on the candidate interference source and the corresponding target frequency, causing the corresponding driving phase to alternately generate micro-phase shifts in opposite directions and in an overall balanced manner around the current phase while the candidate interference source maintains its active noise reduction operation; the interference-affected controller synchronously acquires the error signal changes corresponding to the micro-phase shifts and matches the error signal changes with the timing of the micro-phase shifts of the candidate interference source; when a synchronous response that meets preset conditions is formed between the error signal changes and the corresponding micro-phase shifts, it is confirmed that there is a directed acoustic coupling between the candidate interference source and the interference-affected controller, and the phase adjustment direction that reduces the error is determined based on the error changes corresponding to the micro-phase shifts in opposite directions; the near-field phase adjustment amount is formed according to the phase adjustment direction, and the near-field phase adjustment amount is associated with the corresponding candidate interference source and target frequency before being output.

[0040] It should be noted that one scheme for determining the directed phase response and forming the near-field phase adjustment based on the synchronization error response specifically includes: coherence screening can identify controller combinations with strong statistical correlation, but high coherence does not necessarily prove that the acoustic output of one controller actually acts on another controller, because common noise sources may also cause synchronous changes. Based on this characteristic, after the candidate relationship is determined, the control parameters are not directly adjusted accordingly. Instead, small, identifiable positive and negative changes with limited amplitude are actively applied to the existing target frequency driving phase of the candidate interference source, and then it is observed whether the interfered controller produces an error response consistent with the corresponding disturbance timing, thereby further determining the coupling direction and phase adjustment direction.

[0041] For the formed candidate relationship The central coordinator controls candidate interference sources. While maintaining continuous operation of the machine's active noise cancellation, with the current reference phase Small phase changes are performed in both positive and negative directions around the center. These phase changes are directly superimposed on the original driving component of the target frequency, without needing to shut down the corresponding secondary speaker or add a new detection frequency.

[0042] Specifically, a detection period is divided into an even number of equally long detection intervals, which serve as candidate interference sources. Settings by and The phase direction sequence formed ,in This indicates the index of the probe interval. At that time, the corresponding target frequency phase is set as the reference phase and the micro-phase shift amplitude is increased. ; At that time, the corresponding target frequency phase is set to the reference phase, which is reduced by the same amount. Within a complete detection cycle and The number of phases is set to be the same, so that the average phase of each detection interval is kept near the reference phase. This paper defines the above positive and negative symmetrical detection method as "balanced micro-phase shift".

[0043] When the same active noise cancellation controller corresponds to multiple candidate interference sources, different positive and negative phase sequences are configured for different candidate interference sources. For any two sets of sequences, the two sequence values ​​in the same detection interval are multiplied one by one, and then the arithmetic mean of the products over a complete detection period is calculated. The absolute value of the resulting average value represents the correlation between the two sets of sequences. In one specific embodiment, the absolute value is controlled within 0.25 to make the phase changes of different candidate interference sources distinguishable. The term "distinguished balanced micro-phase shift" as used in this paper refers to a micro-phase shift method in which the positive and negative quantities are balanced and the phase change time series corresponding to different candidate interference sources can be distinguished from each other through conventional sequence correlation analysis.

[0044] In one specific implementation, the micro phase shift amplitude It can be set to Interference-affected active noise cancellation controller Target frequency is extracted synchronously in each detection range. The complex spectrum of the error signal and will As the target frequency error energy in the corresponding detection range Then, for each detection interval in a complete detection cycle... Calculate the arithmetic mean to obtain the average error energy. .

[0045] To determine whether the error change of the affected active noise cancellation controller is synchronized with the micro-phase shift timing of the candidate interference source, a normalized matching index is calculated: in, Indicates candidate interference sources Micro-phase shift timing and active noise cancellation controller under disturbance The degree of normalization matching between the target frequency error variation, This indicates the number of detection intervals contained in a complete detection cycle. Indicates candidate interference sources In the The phase direction corresponding to each detection interval Indicates active noise cancellation controller under interference Target frequency error energy in the corresponding detection range It represents the average error energy over a complete detection cycle.

[0046] If the denominator of the above calculation is 0, it indicates that no error change that can participate in direction determination is formed within a complete detection cycle, and the existence of directional acoustic coupling in the corresponding candidate relationship is not confirmed. In one specific implementation, the matching threshold is... Set to 0.6; when At that time, confirm the active noise cancellation controller. Active phase change can be achieved in active noise reduction controller The error signal forms a response consistent with the corresponding timing, thereby confirming... There is directional acoustic coupling at the target frequency.

[0047] Furthermore, The positive and negative signs reflect the directions of error change corresponding to the positive and negative micro-phase shifts, respectively. When When this occurs, it indicates that the overall positive direction micro-phase shift corresponds to a higher error energy, and the near-field phase preferentially adjusts towards the negative direction; when This indicates that the overall positive-direction micro-phase shift corresponds to lower error energy, and the near-field phase is preferentially adjusted in the positive direction. This embodiment can display the current micro-phase shift amplitude. As the first formal near-field phase adjustment step size, it is formed in conjunction with the active noise cancellation controller. and target frequency Corresponding near-field phase adjustment amount .

[0048] It should also be noted that applying differentially distinguishable, positive and negative balanced micro-changes to the existing target frequency driving phase of candidate interference sources, and confirming directional acoustic coupling based on the synchronous error response of the interfered controller, is an active verification mechanism further designed to address the issue that "statistical correlation cannot prove direct interference." Multiple containers may be affected by the same low-frequency sound source. Even if two signals have high coherence, this cannot be used to definitively determine whether the sound wave truly propagated from one controller to another. This invention does not disable the active noise reduction output of candidate interference sources, but instead performs micro-phase shifts of the corresponding target frequency phase around the current operating phase with the same amplitude but opposite directions. When multiple candidate interference sources exist, different candidate sources employ positive and negative change timing sequences that can be distinguished by sequence correlation. The interfered controller extracts the target frequency error energy according to the same detection interval and normalizes and matches the error change with the micro-phase shift timing sequence of the candidate interference sources. Only when the error change appears synchronously according to the active perturbation law of the corresponding candidate source is acoustic coupling in the corresponding direction confirmed. Meanwhile, the error increase / decrease relationship corresponding to the positive and negative micro-phase shifts directly reflects which phase direction the adjustment should be made near the current operating point. This transforms "potential correlation" into a directed judgment of "generating a identifiable response after active perturbation," avoids interrupting the original noise reduction state by completely silencing a certain device, and reduces the number of repeated adjustments required for blindly probing the phase in both directions.

[0049] S4: Calculate the composite complex sound pressure at each sound field prediction point based on the driving amplitude, driving phase, and propagation relationship of each active noise cancellation controller to the sound field prediction point.

[0050] Furthermore, calculating the composite complex sound pressure at each sound field prediction point involves determining the propagation distance from each active noise cancellation controller to its corresponding sound field prediction point based on the spatial location of the muffler outlet corresponding to each active noise cancellation controller and the location of each sound field prediction point. For the same target frequency, the driving amplitude and driving phase of each active noise cancellation controller are read, and the sound pressure contribution of each active noise cancellation controller is determined according to the correspondence between the driving amplitude and the sound pressure amplitude. The amplitude and propagation phase of the corresponding sound pressure contribution are then corrected according to the propagation distance. The sound pressure contributions reaching the same sound field prediction point are then superimposed in a complex manner according to the amplitude and phase relationship to obtain the composite complex sound pressure at the corresponding target frequency. The composite complex sound pressure results are then generated for multiple sound field prediction points.

[0051] It should be noted that one scheme for calculating the composite complex sound pressure at each sound field prediction point specifically includes the central coordinator pre-determining... The prediction point that needs to be evaluated for sound field, the first Each prediction point is denoted as... ,in , This indicates the number of prediction points. The spatial location of each prediction point uses the same coordinate reference as the location of the muffler outlet.

[0052] To convert the electric drive state of the active noise cancellation controller into the actual sound pressure state at the corresponding prediction point, the active noise cancellation controller is targeted before coordinated operation. Prediction points and target frequency Establish acoustic transfer function values One feasible calibration method is to control the corresponding secondary speaker at the target frequency. The known complex driving signal is output, and the complex sound pressure level at the same target frequency is measured at the prediction point. The measured complex sound pressure level is then divided by the known complex driving signal, and the resulting complex ratio is saved as follows. .therefore, It also includes the amplitude attenuation and phase change of the corresponding propagation path.

[0053] Step S1 has yielded the active noise cancellation controller. At the target frequency The driving complex spectrum Step S3 has already obtained the corresponding near-field phase adjustment amount. When there is no near-field phase adjustment, the corresponding Set it to 0.

[0054] No. Each prediction point at the target frequency The combined complex sound pressure level is calculated according to the following formula: in, Indicates the first Each prediction point at the target frequency Synthetic complex sound pressure, Indicates active noise cancellation controller Corresponding secondary sound source to the first Each prediction point at the target frequency The acoustic transfer function value is as follows. This represents the complex spectrum driven by the corresponding target frequency. This indicates the corresponding near-field phase adjustment amount. This indicates the number of active noise cancellation controllers participating in the current sound field calculation. It represents the imaginary unit.

[0055] The central coordinator first connects the active noise cancellation controllers... Corresponding Multiply by this to obtain the individual complex sound pressure contribution of each active noise cancellation controller at the prediction point; then according to Phase rotation is applied to the corresponding complex sound pressure contributions; finally, all complex sound pressure contributions corresponding to the same prediction point are summed using complex numbers. Each prediction point undergoes the same calculation, resulting in a multi-point synthesized complex sound pressure level at the target frequency. When using acoustic transfer function values ​​for propagation mapping, there is no need to assume that all propagation paths satisfy the ideal free-field distance attenuation law. The actual amplitude attenuation and phase changes caused by the container shell, ground reflection, and equipment arrangement can all be addressed through calibration. reflect.

[0056] S5: When the synthesized complex sound pressure satisfies the far-field in-phase superposition condition, with the maximum reduction of the synthesized sound pressure as the objective, solve for the cooperative phase shift of the corresponding active noise reduction controller.

[0057] Furthermore, solving for the cooperative phase shift of the corresponding active noise cancellation controllers includes establishing a corresponding reference sound pressure based on the individual sound pressure contribution of each active noise cancellation controller at the same sound field prediction point, and comparing the synthesized complex sound pressure with the corresponding reference sound pressure; when at least one sound field prediction point satisfies the preset far-field in-phase superposition condition, the phase shift of the active noise cancellation controllers participating in the superposition of the sound field at the corresponding target frequency is taken as the parameter to be adjusted; the candidate phase shift of each active noise cancellation controller is updated within the preset phase shift range, and the synthesized complex sound pressure of multiple sound field prediction points is recalculated based on the updated phase, with the maximum reduction in synthesized sound pressure among multiple sound field prediction points as the basis for phase shift adjustment, to obtain the cooperative phase shift of the corresponding target frequency.

[0058] It should be noted that the synthesized complex sound pressure at each prediction point can reflect the actual amplitude and phase superposition state of multiple active noise reduction sources after propagation to the far field. However, the increase in synthesized sound pressure may come from the normal energy accumulation of multiple sound sources or from the additional enhancement formed by the phase proximity of different sound sources. The two cannot be simply confused. Based on this consideration, it is necessary to first construct a reference sound pressure that does not contain the phase coordination relationship between sound sources to judge the actual synthesis result. After confirming the existence of far-field in-phase enhancement, joint adjustments are then made around the target frequency phase of each controller, with the maximum sound pressure among multiple prediction points as the constraint object.

[0059] One specific scheme for solving the cooperative phase shift of the corresponding active noise cancellation controller includes establishing a reference sound pressure level for each prediction point in order to distinguish between the energy increase caused by multiple secondary sound sources operating normally and simultaneously and the additional in-phase enhancement caused by multiple sound sources being close in phase. .

[0060] Specifically, during the calculation in step S4, the prediction point for each active noise reduction controller can already be obtained. Target frequency The individual complex sound pressure contributions formed are calculated. The amplitude of each individual complex sound pressure contribution is obtained, the squares of all amplitudes are summed, and the square root of the summation is defined as follows: Since this process only accumulates the sound pressure energy of each sound source itself and does not preserve the phase superposition relationship between different sound sources, it can serve as a reference benchmark for judging additional in-phase enhancement.

[0061] The synthesized complex sound pressure amplitude obtained in step S4 Compared with reference sound pressure Comparison. In one specific implementation, a tolerance margin is set. ,when Greater than At that time, determine the first Each prediction point at the target frequency There is in-phase superposition in the far field. Setting a tolerance margin can prevent normal calibration errors and measurement fluctuations from directly triggering coordinated adjustments. In practical applications, adjustments can be made based on normal relative fluctuations obtained from repeated measurements at the field station. .

[0062] When none of the prediction points meet the far-field in-phase superposition condition, the far-field cooperative phase shift at the corresponding target frequency is set to 0. When at least one prediction point meets the corresponding condition, the additional phase shift of each active noise reduction controller participating in the superposition of the sound fields at the target frequency is recorded as follows: .

[0063] For any set of candidates Based on the individual complex sound pressure contribution of each active noise cancellation controller obtained in step S4, a corresponding phase rotation is added, and then complex summation is performed again for each prediction point to obtain a new set of multi-point synthesized complex sound pressures. Subsequently, the maximum value is extracted from the synthesized sound pressure amplitude of all prediction points, and the candidate cooperative phase shift combination is evaluated based on whether the maximum value decreases.

[0064] The above cooperative phase shift solution process is expressed as follows: in, Indicates target frequency The cooperative phase shift combination obtained below, Indicates active noise cancellation controller Candidate far-field cooperative phase shift, Indicates the maximum allowable additional phase shift. , , , and The meaning is consistent with the steps described above.

[0065] In one specific implementation, it can be Set as Within this range, a known constraint optimization method is used to form multiple candidate phase shift combinations. For each candidate combination formed, the synthetic sound pressure at each prediction point is recalculated according to the aforementioned sound field calculation rules, and candidate combinations that reduce the maximum synthetic sound pressure are retained. The solution ends when a phase shift combination that causes all prediction points to exit the far-field in-phase superposition condition is obtained; if a maximum synthetic sound pressure smaller than the current state cannot be obtained after reaching a preset number of iterations, no new far-field cooperative phase shift is executed in this round.

[0066] In one specific implementation, a genetic algorithm can be used to complete the above numerical search. Since the genetic algorithm only undertakes the task of searching for candidate solutions under the already defined variable range, objective function, and evaluation rules, existing constrained optimization algorithms can be directly used without changing the sound field calculation and collaborative control logic of this step. The individual sound pressure contribution formed by each active noise reduction controller at the same prediction point is constructed as a reference sound pressure. Then, the maximum synthetic sound pressure reduction among multiple prediction points is used as the phase collaboration target. This mainly addresses two easily confused phenomena: first, the simultaneous operation of multiple sound sources will increase the total sound energy, and it cannot be assumed that in-phase superposition has occurred simply because the synthetic sound pressure is large; second, if only the sound pressure at a certain prediction point is reduced, the original peak value may be shifted to another factory boundary position. This invention first combines the amplitudes of each individual sound pressure contribution according to the energy relationship to form a reference sound pressure, so that the reference value does not retain the phase consistency between different sound sources. Then, the actual synthetic complex sound pressure amplitude is compared with the reference sound pressure. Far-field collaboration is only triggered when it exceeds the preset allowable range. Upon triggering, the adaptive filters within each controller are not altered. Instead, the additional phase shift of each controller at the corresponding target frequency is used as the adjustment variable. Within a defined phase range, the multi-point complex sound pressure corresponding to candidate phase shift combinations is repeatedly calculated, and the maximum sound pressure amplitude among all predicted points is used as the unified evaluation metric. Thus, the coordinated adjustment targets the most unfavorable far-field location formed by multiple spatially distributed secondary sound sources, rather than a single controller or a single measurement point. This allows phase correction to reduce the possibility of peak sound pressure shift at the plant boundary, while maintaining the original real-time noise reduction structure of each controller.

[0067] S6: Perform near-field phase adjustment and cooperative phase shift, reacquire interferometric parameters, and retain, roll back, or update phase control parameters based on changes before and after adjustment.

[0068] Furthermore, based on the changes before and after adjustment, the phase control parameters are retained, rolled back, or updated. This includes the central coordinator sending the near-field phase adjustment amount and the cooperative phase shift amount to the corresponding active noise reduction controller, so that the driving phase of the corresponding target frequency is adjusted according to the phase control parameters. After adjustment, the error signal state and driving signal state corresponding to the near field, as well as the driving amplitude and driving phase corresponding to the far field, are reacquired, and the near-field interference index and the composite complex sound pressure of multiple sound field prediction points are re-determined respectively. When the corresponding interference index improves, the current phase control parameters are retained. When the corresponding interference index deteriorates, the phase state before adjustment is restored, and the near-field phase adjustment amount or cooperative phase shift amount is re-formed according to the updated state. When both the near-field interference index and the far-field in-phase superposition condition meet the preset stop condition, the current cooperative adjustment ends, and the corresponding adjustment process is re-entered when the state meets the interference trigger condition again.

[0069] It should be noted that one scheme for retaining, rolling back, or updating phase control parameters based on changes before and after adjustment specifically includes, in order to avoid repeatedly adding phase shifts that have already been executed during multiple rounds of coordinated control as new quantities, an incremental phase update rule is adopted in this embodiment. At the beginning of each coordinated control cycle, the actual driving phase registered in step S1... As the sole reference phase for this cycle; the near-field phase adjustment amount formed in this cycle. and far-field co-phase shift These all represent new changes relative to the current reference phase.

[0070] In one specific implementation, near-field phase modulation is verified first, followed by far-field cooperative phase shifting. For active noise reduction controllers with near-field phase modulation, the current reference phase is... Add corresponding The corresponding target frequency drive phase is adjusted to the obtained value. The active noise reduction controller maintains normal operation for one complete observation cycle, and then obtains the coherence index of the corresponding controller pair again according to the same calculation rules as in step S2.

[0071] Compare the near-field coherence index after adjustment with the coherence index before adjustment: when the adjusted coherence index decreases, retain the current near-field phase adjustment; when the adjusted coherence index increases, restore to the reference phase before adjustment; when there is no distinguishable change between the two, maintain the reference phase before adjustment and do not continue to increase the phase shift in the current direction. To reduce frequent switching caused by normal measurement fluctuations, a comparison dead zone smaller than the normal adjustment amplitude can be set, for example, 3%; at this time, only a relative change exceeding 3% is considered a clear improvement or deterioration, while changes less than or equal to 3% maintain the state before adjustment.

[0072] After the near-field phase adjustment is confirmed to be retained, the phase after actual execution is registered as the new temporary reference phase, and the settings already written into the temporary reference phase are updated. The value is 0. Setting it to zero here only indicates that the corresponding phase change has been fixed in the reference phase, and does not mean that the corresponding near-field control effect has been canceled.

[0073] The far-field cooperative phase shift output from step S5 is performed based on the new temporary reference phase. After execution, the driving frequency domain state of each active noise cancellation controller is obtained again according to step S1, and the synthetic complex sound pressure of all prediction points is recalculated according to step S4. The maximum synthetic sound pressure of all prediction points is compared with the maximum synthetic sound pressure before the far-field cooperative phase shift is performed: when the maximum synthetic sound pressure decreases, the current far-field cooperative phase shift is retained; when the maximum synthetic sound pressure increases, the current far-field cooperative phase shift is canceled and the temporary reference phase before the far-field adjustment is restored; when the change is within the set comparison dead zone, the corresponding candidate phase shift is not written into the new reference phase.

[0074] After the far-field cooperative phase shift is confirmed to be retained, the actual executed drive phase is registered as the new reference phase for the next cooperative control cycle, and the phases already written into the new reference phase are also... Set to 0. Therefore, all near-field phase adjustment and far-field cooperative phase shifts re-formed in the next cooperative control cycle are calculated relative to the new actual reference phase, and historical phase changes that have already been executed and confirmed to be valid are not repeatedly accumulated.

[0075] If there is no near-field phase adjustment at the current target frequency, then directly use The far-field coordinated phase shift serves as the reference; if no far-field coordinated phase shift exists, the confirmed effective near-field adjustment phase is directly registered as the reference phase for the next coordinated control cycle.

[0076] When all confirmed near-field controllers are corresponding All are below the coherence threshold Furthermore, the synthesized sound pressure at all predicted points did not exceed the corresponding reference sound pressure. When the time reaches a certain value, the current coordinated adjustment ends, and only the coordinated state data in step S1 continues to be updated. When new observation data causes a neighboring controller pair to meet the candidate interference source screening conditions again, directional acoustic coupling confirmation is performed again; when any prediction point meets the far-field in-phase superposition conditions again, the corresponding far-field coordinated phase shift is solved again.

[0077] One embodiment of the present invention provides a distributed collaborative control system for a multi-container active noise reduction system, including a state screening module, a sound field control module, and a closed-loop correction module.

[0078] The state screening module is used to collect the spatial position, target frequency error signal, and drive signal of each active noise cancellation controller to establish cooperative state data; it establishes neighboring controller pairs based on spatial position and screens candidate interference sources based on the coherence of the error signal and the cross-controller drive signal; the sound field control module applies a identifiable balanced micro-phase shift to the target frequency drive phase of the candidate interference sources, determines the directed phase response based on the synchronization error response, and forms a near-field phase adjustment amount; it calculates the synthetic complex sound pressure at each sound field prediction point based on the drive amplitude, drive phase, and propagation relationship to the sound field prediction point of each active noise cancellation controller; the closed-loop correction module is used to solve the cooperative phase shift amount of the corresponding active noise cancellation controller with the maximum reduction of synthetic sound pressure as the target when the synthetic complex sound pressure meets the far-field in-phase superposition condition; it executes the near-field phase adjustment amount and cooperative phase shift amount, reacquires the interference index, and retains, rolls back, or updates the phase control parameters based on the changes before and after adjustment.

[0079] Reference Figure 2This embodiment also provides a computer device applicable to the distributed collaborative control method of a multi-container active noise reduction system, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the distributed collaborative control method of the multi-container active noise reduction system as proposed in the above embodiment.

[0080] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0081] This embodiment also provides a storage medium storing a computer program. When executed by a processor, the program implements the distributed collaborative control method for implementing a multi-container active noise reduction system as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

Claims

1. A distributed cooperative control method for a multi-container active noise reduction system, characterized in that, include: Collect the spatial position, target frequency error signal, and drive signal of each active noise cancellation controller to establish collaborative state data; Establish neighboring controller pairs based on spatial location, and screen candidate interference sources based on the coherence between error signals and cross-controller drive signals; A identifiable balanced micro-phase shift is applied to the target frequency driving phase of the candidate interference source, and the directional phase response is determined based on the synchronization error response to form a near-field phase adjustment amount; Based on the driving amplitude, driving phase, and propagation relationship to the sound field prediction point of each active noise cancellation controller, the synthetic complex sound pressure at each sound field prediction point is calculated. When the synthesized complex sound pressure satisfies the far-field in-phase superposition condition, the cooperative phase shift of the corresponding active noise reduction controller is solved with the maximum reduction of synthesized sound pressure as the objective. Perform near-field phase adjustment and cooperative phase shift, reacquire interferometric parameters, and retain, roll back, or update phase control parameters based on changes before and after adjustment.

2. The distributed cooperative control method for a multi-container active noise reduction system as described in claim 1, characterized in that: The establishment of collaborative state data includes each active noise cancellation controller collecting error signals and drive signals while maintaining its own active noise cancellation operation, and extracting the frequency domain state at the corresponding target frequency for coherent judgment and sound field calculation. The driving amplitude and driving phase corresponding to the target frequency are obtained from the driving signal, and the frequency domain state of the error signal, the frequency domain state of the driving signal, and the spatial position of the corresponding muffler outlet are correlated. The central coordinator organizes associated data according to the active noise cancellation controller and the target frequency, and updates the corresponding data after a new state arrives, so that the states of different active noise cancellation controllers at the same target frequency participate in near-field coherence judgment and far-field sound field calculation respectively.

3. The distributed collaborative control method for a multi-container active noise reduction system as described in claim 2, characterized in that: The screening of candidate interference sources includes determining adjacent controller pairs based on the spatial distance between the muffler outlets corresponding to different active noise cancellation controllers; For any pair of adjacent controllers, read the frequency domain state of the error signal of one active noise cancellation controller and the frequency domain state of the drive signal of another active noise cancellation controller at the same target frequency, and form a coherence index based on the cross-correlation spectrum relationship and the power relationship of the two signals. The coherence index is compared with the preset coherence conditions. When the coherence index meets the preset coherence conditions, the active noise reduction controller that provides the driving signal is marked as a candidate interference source. The corresponding interfered controller and the target frequency are associated with the candidate interference source as input for directional acoustic coupling confirmation.

4. The distributed collaborative control method for a multi-container active noise reduction system as described in claim 3, characterized in that: The determination of the directional phase response and the formation of the near-field phase adjustment amount includes the central coordinator, based on the candidate interference source and the corresponding target frequency, causing the corresponding driving phase to alternately generate micro-phase shifts in opposite directions and in an overall balanced manner around the current phase while the candidate interference source is in the state of maintaining the local active noise reduction operation; The interference controller synchronously acquires the error signal changes corresponding to the micro-phase shift and matches the error signal changes with the micro-phase shift timing of the candidate interference sources; When a synchronous response that satisfies the preset conditions is formed between the change in the error signal and the corresponding micro-phase shift, it is confirmed that there is directional acoustic coupling between the candidate interference source and the interfered controller, and the phase adjustment direction that reduces the error is determined according to the error changes corresponding to the micro-phase shifts in opposite directions. The near-field phase adjustment amount is generated according to the phase adjustment direction, and then the near-field phase adjustment amount is correlated with the corresponding candidate interference source and target frequency before being output.

5. The distributed cooperative control method for a multi-container active noise reduction system as described in claim 4, characterized in that: The calculation of the composite complex sound pressure at each sound field prediction point includes determining the propagation distance from each active noise cancellation controller to the corresponding sound field prediction point based on the spatial position of the silencer outlet corresponding to each active noise cancellation controller and the position of each sound field prediction point. For the same target frequency, the driving amplitude and driving phase of each active noise cancellation controller are read. The sound pressure contribution of each active noise cancellation controller is determined according to the correspondence between the driving amplitude and the sound pressure amplitude. The amplitude and propagation phase of the corresponding sound pressure contribution are then corrected according to the propagation distance. The sound pressure contributions arriving at the same sound field prediction point are superimposed according to their amplitude and phase relationship to obtain the synthetic complex sound pressure at the corresponding target frequency, and corresponding synthetic complex sound pressure results are generated for multiple sound field prediction points.

6. The distributed cooperative control method for a multi-container active noise reduction system as described in claim 5, characterized in that: The method of solving the cooperative phase shift of the corresponding active noise cancellation controller includes establishing a corresponding reference sound pressure based on the individual sound pressure contribution of each active noise cancellation controller at the same sound field prediction point, and comparing the synthesized complex sound pressure with the corresponding reference sound pressure. When at least one sound field prediction point satisfies the preset far-field in-phase superposition condition, the phase shift of the active noise reduction controller participating in the superposition of the sound field at the corresponding target frequency will be used as the parameter to be adjusted. The candidate phase shift of each active noise reduction controller is updated within the preset phase shift range, and the synthetic complex sound pressure of multiple sound field prediction points is recalculated based on the updated phase. The maximum reduction in synthetic sound pressure among multiple sound field prediction points is used as the basis for phase shift adjustment to obtain the cooperative phase shift of the corresponding target frequency.

7. The distributed cooperative control method for a multi-container active noise reduction system as described in claim 6, characterized in that: The process of retaining, reverting, or updating the phase control parameters based on the changes before and after adjustment includes the central coordinator sending the near-field phase adjustment amount and the cooperative phase shift amount to the corresponding active noise reduction controller, so that the driving phase of the corresponding target frequency is adjusted according to the phase control parameters; After adjustment, the error signal state and drive signal state corresponding to the near field, as well as the drive amplitude and drive phase corresponding to the far field, are reacquired, and the near field interference index and the composite complex sound pressure of multiple sound field prediction points are re-determined respectively. When the corresponding interferometric index improves, the current phase control parameters are retained; when the corresponding interferometric index deteriorates, the phase state before adjustment is restored, and the near-field phase adjustment amount or cooperative phase shift amount is re-formed according to the updated state. When both the near-field interferometry index and the far-field in-phase superposition condition meet the preset stop condition, the current coordinated adjustment ends, and the corresponding adjustment process is re-entered when the state meets the interferometry trigger condition again.

8. A distributed collaborative control system for a multi-container active noise reduction system, employing the distributed collaborative control method for a multi-container active noise reduction system as described in any one of claims 1 to 7, characterized in that: Includes a status screening module, a sound field control module, and a closed-loop correction module; The status screening module is used to collect the spatial position, target frequency error signal and drive signal of each active noise cancellation controller to establish collaborative status data. Establish neighboring controller pairs based on spatial location, and screen candidate interference sources based on the coherence between error signals and cross-controller drive signals; The sound field control module is used to apply a discernible balanced micro-phase shift to the target frequency driving phase of the candidate interference source, determine the directional phase response based on the synchronization error response and form a near-field phase adjustment amount; and calculate the synthetic complex sound pressure at each sound field prediction point based on the driving amplitude, driving phase and propagation relationship to the sound field prediction point of each active noise reduction controller. The closed-loop correction module is used to solve the cooperative phase shift of the corresponding active noise reduction controller with the goal of reducing the maximum synthetic sound pressure when the synthesized complex sound pressure meets the far-field in-phase superposition condition; execute the near-field phase adjustment and cooperative phase shift, reacquire the interference index, and retain, roll back or update the phase control parameters according to the changes before and after adjustment.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the distributed collaborative control method for the multi-container active noise reduction system according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the distributed collaborative control method for the multi-container active noise reduction system according to any one of claims 1 to 7.

Images