A method for controlling noise suppression by acoustic vibration coupling and electricity cooperation

Abstract

The present application relates to the technical field of adaptive control, and discloses a sound-vibration coupling electric collaborative noise suppression control method. The method is applied to a closed-loop control architecture comprising a controlled sound-vibration coupling structure, a collection unit, a master control unit and an impedance-adjustable piezoelectric shunt execution network, obtains structure vibration characteristic data and sound field characteristic data, and correlates the data to form a sound-vibration coupling data window to be processed according to a unified time reference; determines a coupling evaluation quantity based on the data window, and judges whether to enter collaborative control; generates a target impedance state online when entering collaborative control, and performs convergence and safety prediction; when the prediction meets the conditions, converts the target impedance state into a driving instruction and outputs the driving instruction to the impedance-adjustable piezoelectric shunt execution network, and updates the coupling evaluation quantity and the target impedance state based on the next control cycle feedback data. The present application can adjust the interface equivalent impedance or energy consumption state of the structure interface according to the working condition change, and improve the continuity and stability of sound-vibration coupling noise suppression control.

Description

Technical Field

[0001] This invention relates to the field of adaptive control technology, and in particular to a method for acoustic-vibration coupled electrical cooperative noise suppression control. Background Technology

[0002] During the operation of thin-walled plate and shell structures, electromechanical equipment housings, or other acoustic-vibration coupled structures, the structural interface generates a vibration response under external excitation. This vibration response radiates acoustic energy into the near-field space; the near-field acoustic fluctuations, in turn, react on the structural interface, causing structural vibration and acoustic fluctuations to influence each other under the same operating conditions. When the excitation frequency, load amplitude, or boundary constraints change, asynchrony can easily occur between the acoustic field control target and the structural vibration control target.

[0003] In existing technologies, common treatment methods include setting fixed damping materials at the structural interface, using piezoelectric shunt circuits with fixed parameters, or performing single-point sound pressure suppression within the sound field. These methods can work at specific frequencies or under specific operating conditions, but their control parameters are usually preset, making it difficult to continuously adjust the equivalent impedance or energy dissipation state of the structural interface according to the real-time structural vibration state and near-field sound field state.

[0004] Therefore, under time-varying acoustic and vibration excitation, existing static damping or single-point sound pressure control methods are prone to insufficient adaptability: on the one hand, reducing the sound pressure measurement point alone does not necessarily reduce the acoustic and vibration energy transfer at the structural interface; on the other hand, fixed impedance or fixed energy dissipation parameters are difficult to update with changes in acoustic and vibration coupling state, resulting in a lack of closed-loop correlation between the controlled object, execution boundary and feedback state.

[0005] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] This invention provides a sound-vibration coupled electrical cooperative noise suppression control method to solve the problem in the prior art that static damping or single-point sound pressure control is difficult to adjust the equivalent impedance of the structural interface online according to the real-time structural vibration state and near-field sound field state.

[0007] The technical solution of this invention is: a method for acoustic-vibration coupling electrical cooperative noise suppression control. This control method is applied to a closed-loop control architecture comprising a controlled acoustic-vibration coupling structure, a data acquisition unit, a main control unit, and an impedance-adjustable piezoelectric shunt execution network. The control method includes: acquiring structural vibration characterization data and sound field characterization data of the controlled acoustic-vibration coupling structure through the data acquisition unit, and correlating the structural vibration characterization data and the sound field characterization data according to a unified time reference to form a data window of acoustic-vibration coupling to be processed; the main control unit determining a coupling evaluation quantity characterizing the acoustic-vibration energy transfer intensity based on the data window of acoustic-vibration coupling to be processed, and determining whether to enter cooperative control based on a comparison result of the coupling evaluation quantity and a preset start-up condition; when determining to enter cooperative control, based on the coupling evaluation quantity and the current effective impedance... The system generates a target impedance state online for the impedance-adjustable piezoelectric shunt execution network, based on the anti-state and preset adjustment and safety boundaries. Before outputting the adjustment command, it performs convergence and safety prediction on the target impedance state. If the convergence prediction result or safety prediction result does not meet the corresponding preset conditions, it limits the adjustment step size, regenerates the target impedance state, or reverts to the previous effective control state. If the prediction result meets the preset conditions, it converts the target impedance state into a drive command and outputs the drive command to the impedance-adjustable piezoelectric shunt execution network to change the interface equivalent impedance or energy dissipation state of the controlled acoustic-vibration coupling structure interface. Based on the structural vibration characterization data and acoustic field characterization data reacquired in the next control cycle, it forms feedback data and updates the coupling evaluation quantity and the target impedance state accordingly.

[0008] Optionally, the acquisition unit includes a structural vibration acquisition section for acquiring the structural vibration characterization data and a sound field acquisition section for acquiring the sound field characterization data; acquiring the structural vibration characterization data and sound field characterization data of the controlled acoustic-vibration coupling structure through the acquisition unit includes: acquiring structural vibration characterization data characterizing the interface vibration response of the controlled acoustic-vibration coupling structure through the structural vibration acquisition section; acquiring sound field characterization data characterizing the near-field sound field fluctuations of the controlled acoustic-vibration coupling structure through the sound field acquisition section; and attaching corresponding acquisition channel identifiers and acquisition time identifiers to the structural vibration characterization data and the sound field characterization data.

[0009] Optionally, the step of associating the structural vibration characterization data and the acoustic field characterization data according to a unified time reference to form a coupling data window to be processed includes: connecting the structural vibration characterization data and the acoustic field characterization data to a synchronous data acquisition link; aligning the structural vibration characterization data and the acoustic field characterization data according to the same clock source and unified timestamp; performing band-limited preprocessing on the time-aligned structural vibration characterization data and the acoustic field characterization data, and organizing them according to a fixed sampling window to generate the coupling data window to be processed, wherein the band-limited preprocessing is used to retain data within the target acoustic disturbance frequency band and suppress the influence of data outside the target acoustic disturbance frequency band on the calculation of coupling evaluation quantities.

[0010] Optionally, the step of determining the coupling evaluation quantity characterizing the acoustic-vibration energy transfer intensity by the main control unit based on the acoustic-vibration coupling data window to be processed includes: the main control unit extracting structural vibration state quantity and near-field acoustic field state quantity from the acoustic-vibration coupling data window to be processed; determining the acoustic-vibration energy transfer relationship of the controlled acoustic-vibration coupling structure interface based on the structural vibration state quantity and the near-field acoustic field state quantity within the same control cycle; and performing windowed statistics on the acoustic-vibration energy transfer relationship to form the coupling evaluation quantity.

[0011] Optionally, when determining to enter cooperative control, generating a target impedance state for the impedance-adjustable piezoelectric shunt execution network online based on the coupling evaluation quantity, the current effective impedance state, and preset adjustment and safety boundaries includes: using the impedance state confirmed by feedback in the previous control cycle as the current effective impedance state, and using the current effective impedance state as the update starting point for the current control cycle; generating candidate adjustment quantities based on the deviation of the coupling evaluation quantity from the preset control reference; constraining the candidate adjustment quantities according to the preset adjustment and safety boundaries; and associating the constrained candidate adjustment quantities with the current effective impedance state to generate a target impedance state for the impedance-adjustable piezoelectric shunt execution network.

[0012] Optionally, before outputting the adjustment command, the convergence and safety prediction of the target impedance state includes: predicting the trend of the coupling evaluation quantity change in the next control cycle after the target impedance state acts on the interface of the controlled acoustic-vibration coupling structure, as the convergence prediction result; and verifying whether the target impedance state meets the preset adjustment boundary, safety boundary and update constraint of the current control cycle, as the safety prediction result.

[0013] Optionally, the step of limiting the adjustment step size, regenerating the target impedance state, or reverting to the previous effective control state when the convergence prediction result or the safety prediction result does not meet the corresponding preset conditions includes: limiting the adjustment step size of the current control cycle when the convergence prediction result does not meet the preset convergence conditions, and regenerating the target impedance state based on the limited adjustment step size; stopping the output of the drive command of the current control cycle when the safety prediction result does not meet the preset safety conditions, and reverting to the previous effective control state.

[0014] Optionally, the step of converting the target impedance state into a driving command when the prediction result meets the preset conditions, and outputting the driving command to the impedance-adjustable piezoelectric shunt execution network to change the interface equivalent impedance or energy dissipation state of the controlled acoustic-vibration coupling structure interface, includes: generating a driving command for adjusting the impedance-adjustable piezoelectric shunt execution network according to the target impedance state; outputting the driving command to the corresponding execution branch in the impedance-adjustable piezoelectric shunt execution network according to the preset execution channel relationship; adjusting the equivalent impedance or energy dissipation state of the corresponding execution branch through the driving command, so that the adjusted execution branch acts on the interface of the controlled acoustic-vibration coupling structure.

[0015] Optionally, the step of forming feedback data based on the structural vibration characterization data and acoustic field characterization data reacquired in the next control cycle, and updating the coupling evaluation quantity and the target impedance state accordingly, includes: after the impedance-adjustable piezoelectric shunt execution network performs impedance adjustment, reacquiring the structural vibration characterization data and acoustic field characterization data in the next control cycle through the acquisition unit; combining the execution state quantity of the impedance-adjustable piezoelectric shunt execution network to form feedback data; and returning the feedback data to the main control unit to update the coupling evaluation quantity and the target impedance state.

[0016] Optionally, after the feedback data is generated, the control method further includes: performing anomaly judgment on the feedback data; when the feedback data is missing, distorted, continuously unchanged, exceeds the range, or does not match the drive command, pausing the online update of the target impedance state; after pausing the online update of the target impedance state, maintaining the current safe state or reverting to the previous effective control state.

[0017] The beneficial effects of this invention are as follows:

[0018] This invention forms a coupled evaluation quantity that reflects the intensity of acoustic vibration energy transfer by associating structural vibration characterization data and acoustic field characterization data within the same control cycle. Then, based on the coupled evaluation quantity, the current effective impedance state, and the preset boundary, a target impedance state is generated online. Convergence and safety predictions are performed before output, ensuring that the driving command is not generated solely based on a single sound pressure measurement point or fixed empirical parameters. Simultaneously, the equivalent impedance or energy dissipation state of the interface of the controlled acoustic vibration coupled structure is changed through an impedance-adjustable piezoelectric shunt execution network, and the coupled evaluation quantity and target impedance state are updated using feedback data from the next control cycle. This allows the acquisition, evaluation, prediction, execution, and feedback to be converged into a single physical closed loop, which helps reduce control lag caused by the mismatch between fixed damping parameters and time-varying acoustic vibration states, and also helps reduce the risk of disconnection between single-point sound pressure control and structural modal control. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the overall process of an acoustic-vibration coupled electrical cooperative noise suppression control method provided in one embodiment of the present invention.

[0020] Figure 2 This is a schematic diagram of the process for generating coupling evaluation quantities, generating target impedance states, and predicting back-off before execution, provided in another embodiment of the present invention.

[0021] Figure 3 This is a schematic diagram of the impedance-adjustable piezoelectric shunt execution network and feedback update relationship provided in one embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention; that is, the described embodiments are merely some embodiments of the invention, and not all embodiments. The components of the embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0023] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0024] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0025] As mentioned earlier, when the controlled acoustic-vibration coupled structure is subjected to time-varying acoustic-vibration excitation, fixed damping or single-point sound pressure control methods are difficult to unify the structural vibration state, near-field sound field state, execution network impedance state, and next cycle feedback state into the same control link.

[0026] To address this, the present invention provides a method for acoustic-vibration coupled electrical collaborative noise suppression control. By acquiring structural vibration characterization data and acoustic field characterization data under the same time reference, a coupling evaluation quantity is formed. This coupling evaluation quantity is then used for target impedance state generation, pre-execution prediction, drive command output, and feedback update in the next cycle, enabling the impedance-adjustable piezoelectric shunt execution network to adjust according to changes in the acoustic-vibration coupling state.

[0027] The following is combined Figures 1 to 3 This invention is described in detail.

[0028] Figure 1 This is a schematic diagram of the overall flow of an acoustic-vibration coupled electrical cooperative noise suppression control method provided in one embodiment of the present invention. Figure 1 As shown, the acoustic-vibration coupling electrical cooperative noise suppression control method provided in this embodiment of the invention can be executed by the master control unit in a closed-loop control architecture, which coordinates the acquisition unit and the impedance-adjustable piezoelectric shunt execution network. This closed-loop control architecture includes a controlled acoustic-vibration coupling structure, an acquisition unit, a master control unit, and an impedance-adjustable piezoelectric shunt execution network. The method mainly includes the following steps:

[0029] S100. The acquisition unit acquires the structural vibration characterization data and sound field characterization data of the controlled acoustic-vibration coupling structure, and associates the structural vibration characterization data and the sound field characterization data according to a unified time reference to form a acoustic-vibration coupling data window to be processed.

[0030] S200: The main control unit determines the coupling evaluation quantity characterizing the intensity of acoustic and vibration energy transfer based on the acoustic and vibration coupling data window to be processed, and determines whether to enter cooperative control based on the comparison result of the coupling evaluation quantity and the preset start-up conditions.

[0031] S300. When determining to enter the cooperative control, the target impedance state for the impedance-adjustable piezoelectric shunt execution network is generated online based on the coupling evaluation quantity, the current effective impedance state, and the preset adjustment boundary and safety boundary.

[0032] S400. Before outputting the adjustment command, perform convergence and safety prediction on the target impedance state. When the convergence prediction result or the safety prediction result does not meet the corresponding preset conditions, limit the adjustment step size, regenerate the target impedance state, or return to the previous effective control state.

[0033] S500. When the prediction result meets the preset conditions, the target impedance state is converted into a driving command, and the driving command is output to the impedance-adjustable piezoelectric shunt execution network to change the interface equivalent impedance or energy dissipation state of the controlled acoustic-vibration coupling structure interface; and

[0034] S600: Based on the structural vibration characterization data and acoustic field characterization data reacquired in the next control cycle, feedback data is formed, and the coupling evaluation quantity and the target impedance state are updated accordingly.

[0035] Based on the above steps, this invention links structural vibration characterization data and acoustic field characterization data according to a unified time reference, enabling the main control unit to use coupled evaluation quantities as the basis for entering collaborative control and generating the target impedance state. By performing convergence and safety predictions before outputting adjustment commands, the target impedance state is first constrained before being applied to the impedance-adjustable piezoelectric shunt execution network. The coupled evaluation quantities and the target impedance state are updated by feedback data in the next control cycle, forming a closed loop between acquisition, evaluation, prediction, execution, and feedback. This helps to suppress the enhanced acoustic energy transfer caused by the mismatch between the fixed impedance state and the time-varying acoustic vibration state.

[0036] To provide a more detailed explanation of the technical solutions provided in the above embodiments, the present invention also provides another preferred embodiment. For example... Figures 2 to 3 As shown Figure 2 This is a schematic diagram of the process for generating coupling evaluation quantities, generating target impedance states, and performing pre-execution prediction backoff, provided in another embodiment of the present invention. Figure 3 This is a schematic diagram of the relationship between the impedance-adjustable piezoelectric shunt execution network and the feedback update.

[0037] In another embodiment of the present invention, the data acquisition and time correlation process described in step S100 may include the following steps:

[0038] S110. Obtain structural vibration characterization data that characterizes the interface vibration response of the controlled acoustic-vibration coupling structure through the structural vibration acquisition section.

[0039] S120. Acquire sound field characterization data that characterizes the near-field sound field fluctuations of the controlled acoustic-vibration coupling structure through the sound field acquisition section.

[0040] S130. Add corresponding acquisition channel identifiers and acquisition time identifiers to the structural vibration characterization data and the sound field characterization data;

[0041] S140. Connect the structural vibration characterization data and the acoustic field characterization data to the synchronous data acquisition link;

[0042] S150. Time-align the structural vibration characterization data and the sound field characterization data according to the same clock source and unified timestamp.

[0043] S160. Band-limited preprocessing is performed on the time-aligned structural vibration characterization data and the sound field characterization data, and the data is organized according to a fixed sampling window to generate the acoustic-vibration coupling data window to be processed. The band-limited preprocessing is used to retain the data within the target acoustic-vibration disturbance frequency band and suppress the influence of the data outside the target acoustic-vibration disturbance frequency band on the calculation of the coupling evaluation quantity.

[0044] For example, in a preferred embodiment of the present invention, the controlled acoustic-vibration coupling structure can be a thin-walled plate-shell structure for suppressing radiated noise. The structural vibration acquisition section can include multiple structural vibration acquisition terminals arranged in sections along the interface of the controlled acoustic-vibration coupling structure, and the multiple structural vibration acquisition terminals maintain a spatial correspondence with the execution branches in the impedance-adjustable piezoelectric shunt execution network.

[0045] To ensure that the acquired data reflects the structural response near different execution branches, the structural vibration acquisition points can be arranged in a three-row, three-column partition (e.g., nine acquisition points). The number of these points can be determined by the area of ​​the controlled structure and the number of execution branches. The acoustic field acquisition section may include near-field acoustic pressure acquisition points spaced apart along the normal direction of the interface of the controlled acoustic-vibration coupling structure. The near-field acoustic pressure acquisition points and the structural vibration acquisition points correspond to form acoustic-vibration sampling pairs. The normal interval distance can be determined based on the discriminability of the near-field acoustic pressure gradient (e.g., 20 mm).

[0046] During data acquisition, the raw structural signal obtained by the structural vibration acquisition unit can be denoted as: The raw sound field signal acquired by the sound field acquisition section can be denoted as: ,in Indicates the current control cycle. This indicates the sampling sequence number within the current fixed sampling window. The sampling rate can be determined based on the highest analysis frequency of the target acoustic and vibration disturbance and the operation cycle of the main control unit (e.g., it could be 4096Hz). The fixed sampling window length can be determined based on the sampling rate and the feedback update rhythm (e.g., it could be 256 sampling points). The update interval between adjacent control cycles can be determined based on the main control unit's calculation delay and the network response time (e.g., it could be 20ms).

[0047] To enable structural vibration characterization data and acoustic field characterization data to be correlated and calculated in the same coupled evaluation quantity, both the structural vibration state quantity and the near-field acoustic field state quantity are calibrated and normalized state quantities; wherein, the structural vibration acquisition end and the acoustic field acquisition end, which form acoustic-vibration sampling pairs according to spatial correspondence, are used to participate in the calculation of the same coupled evaluation quantity.

[0048] The structural vibration state parameters and the near-field acoustic field state parameters can be expressed by the following formula:

[0049]

[0050]

[0051] in, Indicates the first The structural vibration acquisition terminal is at the first The first control cycle, the first The structural vibration state quantity corresponding to each sampling point; Indicates the first The sound field acquisition terminal at the first The first control cycle, the first The near-field acoustic state quantities corresponding to each sampling point; , These represent the calibration coefficients for the structural vibration acquisition section and the sound field acquisition section, respectively. Their sources are factory calibration, field calibration, or small-scale test calibration results (for example, normalized calibration coefficients of 1.00 and 1.00, respectively). , These represent the zero-point bias, which originates from background monitoring or static calibration results before startup (e.g., the average of static samples taken 5 seconds before startup). This calculation result is fed into S200 to form coupled evaluation quantities under the same time reference.

[0052] If a certain acquisition channel has no valid data, exceeds the range, or remains constant for multiple consecutive control cycles, the main control unit can mark it as an abnormal channel. The number of consecutive abnormal cycles can be determined by the field operation procedures (for example, it can be 3 control cycles).

[0053] After the abnormal channel is isolated, the main control unit uses the structural vibration state quantity or sound field state quantity of the adjacent effective channels in the same area for window statistical compensation, or keeps the corresponding execution branch in the previous effective impedance state, thereby avoiding distorted data from directly entering S200.

[0054] In another embodiment of the present invention, the coupling evaluation quantity generation and initiation control judgment process described in step S200 may include the following steps:

[0055] S210. The main control unit extracts the structural vibration state quantity and the near-field sound field state quantity from the acoustic-vibration coupling data window to be processed.

[0056] S220. Based on the structural vibration state quantity and the near-field acoustic field state quantity within the same control cycle, determine the acoustic energy transfer relationship of the controlled acoustic-vibration coupling structure interface.

[0057] S230. Perform windowed statistical analysis on the acoustic-vibration energy transfer relationship to form the coupling evaluation quantity;

[0058] S240. Compare the coupling evaluation quantity with the preset start-up conditions, and determine whether to enter the collaborative control based on the comparison result.

[0059] For example, in a preferred embodiment of the present invention, after the main control unit receives the acoustic-vibration coupling data window to be processed output by S100, it first processes the structural vibration state quantity according to the acquisition channel identifier. With the near-field sound state quantity in the corresponding spatial region pair.

[0060] For the same paired region, if the structural vibration state quantity and the near-field acoustic state quantity increase simultaneously within the same sampling window, it indicates a strong acoustic energy transfer trend in that region; if the structural vibration state quantity or the near-field acoustic state quantity is low, the coupling contribution of the corresponding region is small. The coupling evaluation quantity can be expressed by the following formula:

[0061]

[0062] in, Indicates the first Coupled evaluation quantity for each control cycle; This indicates the number of effective acoustic and vibration sampling pairs, which is derived from the number of effective pairings between the structural vibration acquisition end and the near-field acoustic field acquisition end (for example, it could be 9 pairs). This indicates the number of sampling points within a fixed sampling window, which is determined by the fixed sampling window configuration (e.g., it could be 256 sampling points). Indicates the first Near-field acoustic state quantities of the sampled pairs; Indicates the first The structural vibration state quantity of the sampled pairs. This coupled evaluation quantity does not use single-point sound pressure as the sole judgment object, but associates the structural interface vibration with the near-field sound field fluctuation within the same control cycle, and is used for the start-up control judgment before entering S300.

[0063] To ensure that coordinated control only activates when the acoustic-vibration coupling state reaches the required adjustment level, the main control unit can compare the coupling evaluation quantity with a preset activation condition. The activation threshold corresponding to the preset activation condition can be expressed by the following formula:

[0064]

[0065] in, This indicates the startup threshold corresponding to the preset startup conditions; This represents the mean of the coupled evaluation quantities during the background monitoring phase. Its source is historical statistics before equipment startup or under low-disturbance operating conditions (for example, the mean value of the window 60 seconds before startup can be taken). It represents the standard deviation of the coupled evaluation quantity during the background monitoring phase, and its source is the same period of background monitoring data (for example, the standard deviation of the window 60 seconds before start-up can be taken). This represents the startup margin factor, which originates from trial operation or pilot configuration (e.g., it could be 3). When Greater than or equal to At that time, the main control unit determines to enter cooperative control and will The current effective impedance state and preset boundary are sent to S300; when Less than At this time, the main control unit remains in a passive monitoring state and does not output new active adjustment commands.

[0066] To prevent occasional spikes from triggering unnecessary impedance adjustments, the coupled evaluation quantity can be further required to meet preset start-up conditions for multiple consecutive control cycles. The number of consecutive cycles can be determined by the trial operation results (e.g., two control cycles). If the start-up conditions are met only in one cycle and the value returns to below the start-up threshold in the next cycle, the main control unit can continue to monitor and maintain the current effective impedance state.

[0067] In this embodiment, the preset start condition is used to determine whether to enter collaborative control, the preset control benchmark is used to determine the adjustment direction and adjustment range of the target impedance state, and the preset convergence condition is used to determine whether the target impedance state meets the execution permission before outputting the drive command; the above conditions are respectively applied to the start control judgment, impedance state generation and pre-execution prediction stages.

[0068] In another embodiment of the present invention, the online generation process of the target impedance state described in step S300 may include the following steps:

[0069] S310. The impedance state confirmed by feedback in the previous control cycle is taken as the current effective impedance state, and the current effective impedance state is taken as the update starting point of this control cycle.

[0070] S320. Generate candidate adjustment quantities based on the deviation of the coupled evaluation quantity from the preset control benchmark;

[0071] S330. Constrain the candidate adjustment amount according to the preset adjustment boundary and safety boundary;

[0072] S340. Associate the constrained candidate adjustment amount with the current effective impedance state to generate a target impedance state for the impedance-adjustable piezoelectric shunt execution network.

[0073] For example, in a preferred embodiment of the present invention, the impedance-adjustable piezoelectric shunt execution network includes multiple execution branches corresponding to the interface partitions of the controlled acoustic-vibration coupling structure. Each execution branch includes at least a piezoelectric transducer branch, an adjustable impedance branch, and a protection branch; the adjustable impedance branch is used to change the equivalent impedance or energy dissipation state of the execution branch, and the protection branch is used to bring the execution branch into a safe state in the event of overvoltage, overcurrent, overheating, or communication abnormality. To avoid hardcoding specific circuit components in the specification, this embodiment represents the impedance state of each execution branch as a normalized impedance state. ,in Indicates the branch number to be executed. The range of values ​​is determined by the adjustable range of the execution network.

[0074] The current effective impedance state can be inherited from the impedance state formed and confirmed by feedback after the execution of the previous control cycle. If the system has just started and there is no previous effective impedance state, an intermediate impedance state can be used as the initial state. The initial normalized value can be determined by factory configuration or field calibration (e.g., 0.50). The target impedance adjustment range can be determined based on the adjustability and safety boundary of the execution network. The lower and upper limits of normalization can be expressed as follows: and (For example, they could be 0.05 and 0.95 respectively). The target impedance state can be expressed by the following formula:

[0075]

[0076] in, Indicates the first The execution branch is in the first The target impedance state for each control cycle; This represents the normalized impedance state in the previous effective control state; This represents the update coefficient, which is derived from trial operation, pilot testing, or conservative configuration (e.g., it could be 0.10). Indicates the first The adjustment direction coefficient of each execution branch on the current coupling evaluation quantity is derived from the pre-calibrated or system-identified execution branch influence relationship. The execution branch influence relationship can be determined by applying a small impedance perturbation to a single execution branch and recording the change direction of the coupling evaluation quantity relative to the state before the perturbation. Indicates the current coupled evaluation quantity; This indicates the preset control baseline, which is derived from the target operating condition baseline monitoring, historical statistics, or operating procedures (for example, it can be 1.2 times the average of the baseline monitoring). and The adjustment boundary represents the normalized impedance state, derived from the adjustable range and safety boundary of the execution network; This indicates that the image is being limited.

[0077] When generating the target impedance state, a maximum adjustment step size per cycle can be set to prevent excessive jumps in the target impedance state. This maximum adjustment step size can be determined based on the network response time and the rate of change in the structural acoustic and vibration state (for example, it could be a normalized impedance state change of 0.08). If the candidate adjustment value calculated by the formula exceeds this maximum adjustment step size per cycle, the main control unit limits the candidate adjustment value and then associates the limited candidate adjustment value with the current effective impedance state. This target impedance state then proceeds to S400 for pre-execution prediction.

[0078] In another embodiment of the present invention, the pre-execution prediction verification and conservative backoff process described in step S400 may include the following steps:

[0079] S410. Predict the trend of the coupling evaluation quantity change in the next control cycle after the target impedance state acts on the interface of the controlled acoustic-vibration coupling structure, and use it as the convergence prediction result.

[0080] S420. Verify whether the target impedance state meets the preset adjustment boundary, safety boundary and update constraints of the current control cycle, as the safety prediction result.

[0081] S430. When the convergence prediction result does not meet the preset convergence condition, the adjustment step size of this control cycle is limited, and the target impedance state is regenerated based on the limited adjustment step size.

[0082] S440. When the safety prediction result does not meet the preset safety conditions, stop outputting the drive command for this control cycle and return to the previous effective control state.

[0083] For example, in a preferred embodiment of the present invention, before outputting the target impedance state to the execution side, the main control unit first calls the pre-calibrated or system-identified impedance state-coupling evaluation quantity mapping relationship to predict the possible trend of coupling evaluation quantity change of the target impedance state in the next control cycle. The impedance state-coupling evaluation quantity mapping relationship takes the coupling evaluation quantity of the current control cycle, the previous effective impedance state, and the target impedance state generated in the current control cycle as inputs, and outputs the predicted coupling evaluation quantity or predicted change direction for the next control cycle.

[0084] The impedance state-coupling evaluation quantity mapping relationship may include the normalized impedance state range, the impedance state change range, the direction of change of the coupling evaluation quantity, and the predicted change range. The main control unit determines the impedance state change based on the previous effective impedance state and the target impedance state, and queries the corresponding mapping item in conjunction with the coupling evaluation quantity of the current control cycle.

[0085] The main control unit can query the corresponding mapping term according to the normalized impedance interval to which the target impedance state belongs; when the target impedance state is located between adjacent mapping terms, the main control unit can interpolate based on the adjacent mapping terms to obtain the trend of the predicted coupling evaluation quantity change in the next control cycle. The mapping relationship can be derived from small-scale calibration, no-load calibration, historical operating data, or simulation identification, and is not limited to a specific calibration device or hardware model.

[0086] The preset convergence condition may include: the predicted coupling evaluation value is not higher than the benchmark jointly defined by the current coupling evaluation value and the convergence tolerance. The convergence tolerance can be determined based on the background monitoring fluctuation and the control target (for example, it can be 2% of the current coupling evaluation value). If the prediction result shows that the target impedance state cannot keep the coupling evaluation value from decreasing, or the predicted change direction is opposite to the desired control direction, the main control unit limits the adjustment step size of this control cycle and returns to S300 to regenerate the target impedance state.

[0087] The preset safety conditions may include: the target impedance state does not exceed the normalized impedance adjustment range, the drive command does not exceed the preset output boundary, and the safety utilization rate of the execution branch does not exceed the preset safety threshold. The safety utilization rate can be determined based on the voltage, current, temperature rise, or protection status of the execution branch; when the voltage, current, temperature rise, or protection status of any execution branch exceeds the corresponding safety limit, the main control unit determines that the safety prediction result does not meet the preset safety conditions.

[0088] The preset safety threshold can be derived from manufacturer data, operating procedures, or conservative on-site configuration. If the safety prediction result does not meet the preset safety conditions, no new drive command will be output in this control cycle, and the execution network will remain in the previous effective control state; if the previous effective control state is also marked as unsafe, the corresponding execution branch will enter a passive energy dissipation or high-impedance safety state.

[0089] In this way, the target impedance state is not directly converted into an execution command, but undergoes convergence and safety screening before entering S500. This process gives the control chain of the present invention a prediction-execution-feedback sequence, avoiding unidirectional control of "calculation equals execution".

[0090] In another embodiment of the present invention, the driving command generation and impedance adjustment execution process described in step S500 may include the following steps:

[0091] S510. Generate driving instructions for adjusting the impedance-adjustable piezoelectric shunt execution network based on the target impedance state.

[0092] S520. According to the preset execution channel relationship, the drive command is output to the corresponding execution branch in the impedance adjustable piezoelectric shunt execution network;

[0093] S530. Adjust the equivalent impedance or energy dissipation state of the corresponding execution branch through the driving command, so that the adjusted execution branch acts on the interface of the controlled acoustic-vibration coupling structure.

[0094] For example, in a preferred embodiment of the present invention, the drive signal generation module in the main control unit receives the execution permission and target impedance status output by S400. Then, the target impedance state is converted into a drive instruction that the corresponding execution branch can recognize. The drive instruction can be a normalized control word, a pulse-width modulation duty cycle instruction, or an analog control reference; however, this embodiment only illustrates the mapping relationship and does not limit the specific hardware model. The drive instruction can be expressed by the following formula:

[0095]

[0096] in, Indicates the first The execution branch is in the first Drive instructions for each control cycle; and These represent the lower and upper limits of the output of the drive instruction, respectively, and their sources are the safe output range of the drive signal generation module in the main control unit and the allowed input range of the execution network (for example, they can be normalized duty cycles of 5% and 95%, respectively). Indicates the first The target impedance state of each execution branch. The drive command is output to the corresponding execution branch according to the execution channel relationship, so as to change the equivalent impedance or energy dissipation state of the execution branch.

[0097] On the execution side, each execution branch corresponds to a partition of the controlled acoustic-vibration coupling structure interface. After the drive command reaches the execution branch, the adjustable impedance branch changes the equivalent impedance state near the partition, allowing the electrical energy flow generated by the piezoelectric transducer branch under structural vibration to enter the corresponding energy dissipation or tuning channel, thereby changing the interface energy dissipation state of that partition. The number of execution branches can be determined according to the number of partitions in the controlled structure (e.g., it could be 9 execution branches), and the correspondence between execution branches and acquisition channels can be determined by installation points or system calibration.

[0098] If the drive signal generation module detects that the lower-level execution channel is unresponsive, the execution branch return status does not match the drive command, or the protection branch is triggered, the main control unit marks the execution branch as an execution anomaly. The number of consecutive cycles in which execution anomalies occur can be determined by the operating procedure (e.g., it could be 3 control cycles). During an execution anomaly, the corresponding execution branch maintains its current safe state or reverts to the previous valid control state, and this anomaly state is used as one of the feedback data of S600.

[0099] In another embodiment of the present invention, the feedback data formation, updating, and anomaly handling process described in step S600 may include the following steps:

[0100] S610. After the impedance-adjustable piezoelectric shunt execution network performs impedance adjustment, the acquisition unit reacquires the structural vibration characterization data and the sound field characterization data in the next control cycle.

[0101] S620. Combine the execution status variables of the impedance-adjustable piezoelectric shunt execution network to form feedback data;

[0102] S630. Return the feedback data to the main control unit to update the coupling evaluation quantity and the target impedance state;

[0103] S640. Perform anomaly detection on the feedback data;

[0104] S650. When the feedback data is missing, distorted, continuous, exceeds the range, or does not match the drive command, the online update of the target impedance status is paused.

[0105] S660. After pausing the online update of the target impedance state, maintain the current safe state or revert to the previous effective control state.

[0106] For example, in a preferred embodiment of the present invention, after the execution network completes the impedance adjustment for the current control cycle, the acquisition unit reacquires the structural vibration characterization data and sound field characterization data in the next control cycle, and forms a new acoustic-vibration coupling data window to be processed according to the time correlation method of S100. The feedback update cycle can be consistent with the control cycle, or can be an integer multiple of the control cycle, and its source is the main control unit's operation cycle and the execution network's response time (for example, it can be 20ms).

[0107] Feedback data may include structural vibration state quantities, near-field acoustic field state quantities, recalculated coupling evaluation quantities, target impedance states of each execution branch, drive commands, execution response flags, and safety status flags for the next control cycle. The main control unit compares the feedback coupling evaluation quantities with the predicted trend. If the feedback result matches the prediction result, the target impedance state for this cycle is recorded as the new current effective impedance state, and the process proceeds to the next rounds S200 and S300. If the deviation between the feedback result and the prediction result exceeds a preset feedback deviation threshold, online updates are paused, and anomaly detection is initiated. The feedback deviation threshold can be determined by background fluctuations, sensor accuracy, and trial operation results (for example, it can be 30% of the predicted coupling evaluation quantity).

[0108] When feedback data is missing, distorted, inconsistent, exceeds the range, or is mismatched with drive commands, the main control unit will no longer use the feedback data to update the target impedance state. The number of consecutive abnormal feedback data cycles can be determined according to the field operation procedures (e.g., it could be 3 control cycles). After pausing online updates, if the previous effective control state still meets the safety boundary, the main control unit will maintain the previous effective control state; if the previous effective control state does not meet the safety boundary, the main control unit will put the corresponding execution branch into a passive power dissipation or high-impedance safety state and wait for the acquisition link to recover.

[0109] Accordingly, this invention updates the coupled evaluation quantity and target impedance state through feedback data in the next control cycle, causing the physical state changes formed on the execution side to re-enter the processing and judgment sides. This feedback process allows this invention to go beyond one-time adjustment, forming a closed loop of acoustic and vibration state evaluation, impedance state adjustment, and anomaly backoff within a continuous control cycle.

[0110] The above description is merely a preferred embodiment of the technical solution of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for acoustic-vibration coupled electrical cooperative noise suppression and control, characterized in that, The control method is applied to a closed-loop control architecture comprising a controlled acoustic-vibration coupling structure, a data acquisition unit, a main control unit, and an impedance-adjustable piezoelectric shunt execution network. The control method includes: The acquisition unit obtains structural vibration characterization data and sound field characterization data of the controlled acoustic-vibration coupling structure, and correlates the structural vibration characterization data and the sound field characterization data according to a unified time reference to form an acoustic-vibration coupling data window to be processed. The main control unit determines the coupling evaluation quantity characterizing the intensity of acoustic and vibration energy transfer based on the acoustic and vibration coupling data window to be processed, and determines whether to enter cooperative control based on the comparison result of the coupling evaluation quantity and the preset start-up conditions. When determining to enter collaborative control, the target impedance state for the impedance-adjustable piezoelectric shunt execution network is generated online based on the coupling evaluation quantity, the current effective impedance state, and the preset adjustment boundary and safety boundary. Before outputting the adjustment command, the convergence and safety prediction of the target impedance state are performed. When the convergence prediction result or the safety prediction result does not meet the corresponding preset conditions, the adjustment step size is limited, the target impedance state is regenerated, or the state is returned to the previous effective control state. When the prediction result meets the preset conditions, the target impedance state is converted into a driving command, and the driving command is output to the impedance-adjustable piezoelectric shunt execution network to change the interface equivalent impedance or energy dissipation state of the controlled acoustic-vibration coupling structure interface; and Based on the structural vibration characterization data and acoustic field characterization data reacquired in the next control cycle, feedback data is formed, and the coupling evaluation quantity and the target impedance state are updated accordingly.

2. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 1, characterized in that, The acquisition unit includes a structural vibration acquisition part for acquiring the structural vibration characterization data, and a sound field acquisition part for acquiring the sound field characterization data. The acquisition of structural vibration characterization data and sound field characterization data of the controlled acoustic-vibration coupling structure through the acquisition unit includes: The structural vibration acquisition section acquires structural vibration characterization data that characterizes the interface vibration response of the controlled acoustic-vibration coupling structure. The sound field acquisition section acquires sound field characterization data that characterizes the near-field sound field fluctuations of the controlled acoustic-vibration coupling structure. The structural vibration characterization data and the acoustic field characterization data are then appended with corresponding acquisition channel identifiers and acquisition time identifiers.

3. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 1, characterized in that, The step of correlating the structural vibration characterization data and the acoustic field characterization data according to a unified time reference to form a window of acoustic-vibration coupling data to be processed includes: The structural vibration characterization data and the acoustic field characterization data are connected to the synchronous data acquisition link; The structural vibration characterization data and the acoustic field characterization data are time-aligned using the same clock source and unified timestamp. The time-aligned structural vibration characterization data and sound field characterization data are subjected to band-limited preprocessing and organized according to a fixed sampling window to generate the acoustic-vibration coupling data window to be processed. The band-limited preprocessing is used to retain data within the target acoustic-vibration disturbance frequency band and suppress the influence of data outside the target acoustic-vibration disturbance frequency band on the calculation of coupling evaluation quantities.

4. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 1, characterized in that, The process of determining the coupling evaluation quantity characterizing the intensity of acoustic and vibration energy transfer based on the acoustic-vibration coupling data window to be processed by the main control unit includes: The main control unit extracts structural vibration state quantities and near-field acoustic field state quantities from the acoustic-vibration coupling data window to be processed. Based on the structural vibration state quantity and the near-field acoustic field state quantity within the same control cycle, the acoustic energy transfer relationship of the controlled acoustic-vibration coupling structure interface is determined. The acoustic-vibration energy transfer relationship is statistically analyzed using a windowing method to form the coupling evaluation quantity.

5. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 1, characterized in that, When determining to enter cooperative control, based on the coupling evaluation quantity, the current effective impedance state, and preset adjustment and safety boundaries, a target impedance state for the impedance-adjustable piezoelectric shunt execution network is generated online, including: The impedance state confirmed by feedback in the previous control cycle is taken as the current effective impedance state, and the current effective impedance state is taken as the update starting point for this control cycle. Candidate adjustment quantities are generated based on the deviation of the coupled evaluation quantity from the preset control benchmark. The candidate adjustment values ​​are constrained based on the preset adjustment boundary and safety boundary. The constrained candidate adjustment value is associated with the current effective impedance state to generate a target impedance state for the impedance-adjustable piezoelectric shunt execution network.

6. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 1, characterized in that, Before issuing the output adjustment command, the convergence and safety prediction of the target impedance state includes: The trend of the coupling evaluation quantity change in the next control cycle after the target impedance state is applied to the interface of the controlled acoustic-vibration coupling structure is predicted as the convergence prediction result. The target impedance state is verified to meet the preset adjustment boundary, safety boundary, and update constraints of the current control cycle, and is used as the safety prediction result.

7. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 6, characterized in that, When the convergence prediction result or security prediction result does not meet the corresponding preset conditions, the adjustment step size is limited, the target impedance state is regenerated, or the state is rolled back to the previous effective control state, including: When the convergence prediction result does not meet the preset convergence condition, the adjustment step size of this control cycle is limited, and the target impedance state is regenerated based on the limited adjustment step size. When the safety prediction result does not meet the preset safety conditions, the output of the drive command for this control cycle is stopped, and the system returns to the previous effective control state.

8. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 1, characterized in that, When the prediction result meets the preset conditions, the target impedance state is converted into a driving command, and the driving command is output to the impedance-adjustable piezoelectric shunt execution network to change the interface equivalent impedance or energy dissipation state of the controlled acoustic-vibration coupling structure interface, including: Based on the target impedance state, drive instructions are generated for adjusting the impedance-adjustable piezoelectric shunt execution network; According to the preset execution channel relationship, the drive command is output to the corresponding execution branch in the impedance adjustable piezoelectric shunt execution network; The equivalent impedance or energy dissipation state of the corresponding execution branch is adjusted by the driving command, so that the adjusted execution branch acts on the interface of the controlled acoustic-vibration coupling structure.

9. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 1, characterized in that, The structural vibration characterization data and acoustic field characterization data reacquired in the next control cycle form feedback data, and the coupling evaluation quantity and the target impedance state are updated accordingly, including: After the impedance-adjustable piezoelectric shunt execution network performs impedance adjustment, the acquisition unit reacquires the structural vibration characterization data and the acoustic field characterization data in the next control cycle. Feedback data is generated by combining the execution status parameters of the impedance-adjustable piezoelectric shunt execution network. The feedback data is returned to the main control unit to update the coupling evaluation quantity and the target impedance state.

10. The acoustic-vibration coupled electrical cooperative noise suppression and control method according to claim 9, characterized in that, After the feedback data is generated, the control method further includes: Anomaly detection is performed on the feedback data; When the feedback data is missing, distorted, continuous, exceeds the range, or does not match the drive command, the online update of the target impedance status is paused. After pausing the online update of the target impedance state, maintain the current safe state or revert to the previous effective control state.

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