Vibration active control decision method, system and storage medium based on impulse response

Abstract

The present application provides a vibration active control decision method, system and storage medium based on impulse response. The method includes: under a first excitation, collecting a first input signal, determining the transmission channel and secondary channel parameters between each control point and each measuring point according to the first input signal; under a second excitation, collecting a second input signal, determining an error signal according to the second input signal; simulating according to the transmission channel, secondary channel parameters and error signal, and outputting a first vibration response signal; when the first vibration response signal meets the preset standard, recording and outputting the position and number of the control point and the measuring point. Through the scheme of the present application, it is possible to pre-evaluate the control effect of ship vibration and noise. Before the target object is officially activated, the control effect of different control strategies on the target object under different excitations can be pre-evaluated, providing a strong basis for the control of ship vibration and noise, and greatly improving work efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of active vibration control, and more specifically to a vibration active control decision method, system and storage medium based on impulse response. Background Art

[0002] In the control technology of ship vibration and noise, active control technology can intelligently adjust its own parameters according to the vibration characteristics of the vibration source, and control low-frequency vibration through the active output of energy by the system. It is currently recognized in the industry as one of the effective methods to solve low-frequency vibration problems.

[0003] However, the active control methods in traditional technologies can only roughly calculate the actuator force requirements from the origin to the origin, and cannot predict or evaluate the control effect of the control point; moreover, for different control objects, the design of the actuator and error sensor location selection scheme is mostly based on the engineer's own model simulation calculation and engineering experience, but different controlled objects are very different, and the actual operating environment and boundary constraints are also relatively complex. Therefore, the design of control strategies and control algorithms directly affects the control effect of vibration and noise control. Summary of the Invention

[0004] The present application is proposed to solve at least one of the above problems. According to one aspect of the present application, a vibration active control decision method based on impulse response is provided, which is applied to the control of ship vibration and noise, and the method includes:

[0005] Under a first stimulus, collecting first input signals at each control point and each measuring point of the target object, and determining transmission channels and secondary channel parameters between each control point and each measuring point according to the first input signals;

[0006] Under a second excitation, collecting a second input signal at each measuring point of the target object, and determining an error signal of the second input signal according to the second input signal;

[0007] Performing simulation using an adaptive filtering control algorithm according to the transmission channel, the secondary channel parameters, and the error signal, and outputting a first vibration response signal;

[0008] When the first vibration response signal meets a preset standard, the positions and quantities of the control points and the measuring points are recorded and output.

[0009] In one embodiment of the present application, the method further includes:

[0010] When the first vibration response signal does not meet the preset standard, the positions of the control points and the measuring points are adjusted, and then the steps of collecting the first input signals at the respective control points and the respective measuring points of the target object, determining the transmission channel and secondary channel parameters between the respective control points and the respective measuring points based on the first input signals, and collecting the second input signals at the respective measuring points of the target object, and determining the error signals of the second input signals based on the second input signals are re-executed until the first vibration response signal meets the preset standard.

[0011] In one embodiment of the present application, under a first stimulus, collecting first input signals at each control point and each measuring point of a target object, and determining transmission channels and secondary channel parameters between each control point and each measuring point based on the first input signals, includes:

[0012] Under the first excitation, collecting the pulse signal at each of the control points and the second vibration response signal at each of the measuring points;

[0013] measuring the transmission channel between each of the control points and each of the measuring points;

[0014] According to the transmission channel, a secondary channel correction algorithm is used to perform calculations to obtain the secondary channel parameters.

[0015] In one embodiment of the present application, when the target object is in a stationary state, the actuator generates a first excitation on the target object.

[0016] In one embodiment of the present application, when the target object is in a target working condition, the target object generates a second excitation.

[0017] In one embodiment of the present application, the first input signal includes a pulse signal at each of the control points and a second vibration response signal at each of the measuring points.

[0018] In one embodiment of the present application, the first input signal is generated by an actuator.

[0019] In one embodiment of the present application, the actuator includes a hammer; wherein when the hammer strikes the control point, the first excitation signal is generated.

[0020] In one embodiment of the present application, the second input signal includes a third vibration response signal at each of the measurement points.

[0021] In one embodiment of the present application, the measuring point includes a vibration sensor installation location.

[0022] According to another aspect of the present application, a vibration active control decision system based on impulse response is provided, the system comprising:

[0023] an actuator, configured to generate a first stimulus when the target object is in a stationary state;

[0024] a signal acquisition module, configured to acquire a first input signal when the target object is under a first stimulus, and a second input signal when the target object is under a second stimulus;

[0025] an analysis module, configured to determine transmission channel and secondary channel parameters between each of the control points and each of the measurement points based on the first input signal, and to determine an error signal of the second input signal based on the second input signal;

[0026] The processing module is configured to perform simulation using an adaptive filtering control algorithm based on the transmission channel, the secondary channel parameters, and the error signal, and output a first vibration response signal; and when the first vibration response signal meets a preset standard, record and output the positions and numbers of the control points and the measuring points.

[0027] In one embodiment of the present application, the actuator includes:

[0028] The actuator includes a hammer, and when the hammer strikes the target object, the first excitation is generated;

[0029] The signal acquisition module includes a vibration sensor.

[0030] According to another aspect of the present application, a storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the processor executes the above-mentioned vibration active control decision method based on impulse response.

[0031] According to the vibration active control decision simulation method, system and storage medium based on impulse response of the present application, by determining the transmission channel, secondary channel parameters and error signal between the control points and the measuring points, and using an adaptive filtering control algorithm to perform simulation based on the transmission channel, the secondary channel parameters and the error signal, a first vibration response signal is output. When the first vibration response signal meets the preset standard, the position and number of the control points and the measuring points are recorded and output. This can achieve a preliminary evaluation of the control effect of ship vibration and noise. Before the target object is officially activated, the control effect of different control strategies on the target object under different excitations can be pre-evaluated, providing a strong basis for the control of ship vibration and noise, and greatly improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and other purposes, features, and advantages of the present application will become more apparent through a more detailed description of the embodiments of the present application in conjunction with the accompanying drawings. The accompanying drawings are intended to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the drawings, the same reference numerals generally represent the same components or steps.

[0033] Figure 1 A schematic flow chart showing a vibration active control decision method based on impulse response according to an embodiment of the present application;

[0034] Figure 2 A schematic diagram showing the principle of using an adaptive filtering control algorithm according to an embodiment of the present application is shown;

[0035] Figure 3 A schematic flow chart showing a vibration active control decision method based on impulse response according to an embodiment of the present application is shown;

[0036] Figure 4 A schematic diagram showing a transmission channel test of a high-power diesel engine in a stationary state according to an embodiment of the present application is shown;

[0037] Figure 5 A schematic diagram showing a vibration signal test at each measuring point when a high-power diesel engine is in operation according to an embodiment of the present application is shown;

[0038] Figure 6 A schematic diagram showing the principle of a vibration active control decision method based on impulse response according to an embodiment of the present application is shown;

[0039] Figure 7 A schematic diagram of a control process according to an embodiment of the present application is shown;

[0040] Figure 8 A schematic block diagram of a vibration active control decision system based on impulse response according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the present application more apparent, the following is a detailed description of example embodiments of the present application with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application described in this application, all other embodiments obtained by those skilled in the art without creative work should fall within the scope of protection of this application.

[0042] Traditional active control methods primarily involve actuators, control strategies, and control algorithms. While these methods offer some versatility for different control objects, due to variations in the physical characteristics and operating conditions of the control objects themselves, as well as in the target frequency bands for active control, the design of these actuators, control strategies, and control algorithms requires specific design variations and specificity. The practical application of active vibration control technology has always faced a significant challenge: during the initial design phase, it is often not possible to install an active control system to pre-control the control object. Consequently, it is impossible to propose the optimal and most effective active control design for each controlled object. Generally speaking, active control schemes focus on two key design areas: the actuator and the control strategy. The primary design parameters of the actuator are operating frequency and output. Its design is primarily based on the vibration frequency characteristics of the controlled operating conditions and its own mechanical admittance. However, this method can only roughly calculate the actuator force required from the origin of the active control system to the origin, and cannot predict and evaluate the control performance of each control point, nor does it consider the coupling effects between control points. Regarding control strategy design, the selection of actuator and error sensor locations for different controlled objects directly impacts the overall control performance of active control systems. However, there is currently no effective system to guide control strategy development. Most approaches rely on engineers' own model simulation calculations and engineering experience. However, controlled objects vary greatly, and actual operating environments and boundary constraints are complex. Furthermore, the engineering application of active control technology is rare. Therefore, during the design phase, the design of control strategies and algorithms for active control systems struggles to meet the actual requirements of later engineering projects. Therefore, improvements are proposed to address these issues.

[0043] Based on the aforementioned technical problems, the present application provides an impulse response-based vibration active control decision method, which is applied to the control of ship vibration and noise. The method includes: under a first excitation, collecting first input signals at each control point and each measuring point of the target object, and determining the transmission channels and secondary channel parameters between the each control point and the each measuring point based on the first input signal; under a second excitation, collecting second input signals at the each measuring point of the target object, and determining the error signal of the second input signal based on the second input signal; using an adaptive filtering control algorithm to perform simulation based on the transmission channel, the secondary channel parameters and the error signal, and outputting a first vibration response signal; when the first vibration response signal meets a preset standard, recording and outputting the positions and numbers of the control points and the measuring points. By determining the transmission channels, secondary channel parameters and error signals between the control points and the measuring points, and using an adaptive filtering control algorithm to perform simulation based on the transmission channels, the secondary channel parameters and the error signals, a first vibration response signal is output. When the first vibration response signal meets a preset standard, the positions and numbers of the control points and the measuring points are recorded and output. This allows for a preliminary evaluation of the control effect of ship vibration and noise. Before the target object is officially activated, the control effect of different control strategies on the target object under different excitations can be pre-evaluated, providing a strong basis for controlling ship vibration and noise and greatly improving work efficiency.

[0044] The following describes in detail the scheme of the vibration active control decision method based on impulse response according to the embodiment of the present application in conjunction with the accompanying drawings. The features of the various embodiments of the present application can be combined with each other without conflict.

[0045] Figure 1 FIG. 1 is a schematic flow chart showing a vibration active control decision method based on impulse response according to an embodiment of the present application; FIG. Figure 1 As shown, the vibration active control decision method 100 based on impulse response according to an embodiment of the present application may include the following steps S101, S102, S103, and S104:

[0046] In step S101 , under a first stimulus, first input signals are collected at each control point and each measuring point of a target object, and transmission channels and secondary channel parameters between the control points and the measuring points are determined according to the first input signals.

[0047] This application takes a high-power diesel engine as an example to introduce a vibration active control decision method based on impulse response. In specific implementation, it can be applied to other hardware devices besides high-power diesel engines.

[0048] In an embodiment of the present application, the measuring point includes a vibration sensor installation location.

[0049] In one embodiment of the present application, under a first stimulus, collecting first input signals at each control point and each measuring point of a target object, and determining transmission channels and secondary channel parameters between each control point and each measuring point based on the first input signals, includes:

[0050] A1, under the first excitation, collecting the pulse signal at each control point and the second vibration response signal at each measuring point;

[0051] A2, measuring the transmission channel between each control point and each measuring point;

[0052] A3, performing calculations based on the transmission channel using a secondary channel correction algorithm to obtain the secondary channel parameters.

[0053] In one embodiment of the present application, when the target object is in a stationary state, the actuator generates a first excitation on the target object.

[0054] In one example, the first input signal is generated by an actuator.

[0055] Specifically, the actuator includes a hammer; when the hammer strikes the control point, the first excitation signal is generated. During implementation, when the high-power diesel engine is in a stationary state, the first input signal is collected by hammering each control point.

[0056] In one example, the first input signal includes a pulse signal at each control point and a second vibration response signal at each measuring point. The first input signal can specifically be a pulse signal of an instantaneous impact of a force hammer, a vibration response signal of a measuring point corresponding to each pseudo-vibration sensor, and a transmission channel between each control point and each measuring point.

[0057] In step S102 , under a second excitation, second input signals at the respective measuring points of the target object are collected, and error signals of the second input signals are determined according to the second input signals.

[0058] The following continues to introduce the embodiments of the present application by taking the target object being a high-power diesel engine as an example.

[0059] In another embodiment of the present application, when the target object is in a target working condition, the target object generates a second excitation.

[0060] In another embodiment of the present application, the second input signal includes a third vibration response signal at each of the measuring points.

[0061] In an embodiment of the present application, after executing step S101, the high-power diesel engine can be started to the target operating condition. After the high-power diesel engine stabilizes, the vibration signals at each measuring point are recorded for a predetermined period of time. In other embodiments, the transmission channel and secondary channel parameters between each control point and each measuring point, as well as the error signal of the second input signal, can be recorded at different time periods when the target object is in a stationary state and in the target operating condition. In other words, the stationary state and the target operating condition do not need to be continuous.

[0062] In step S103 , an adaptive filtering control algorithm is used to perform simulation according to the transmission channel, the secondary channel parameters and the error signal, and a first vibration response signal is output.

[0063] In an embodiment of the present application, after completing the test of the high-power diesel engine in a stationary state and under target operating conditions, the test data (the transmission channel and secondary channel parameters between the each control point and the each measuring point, and the error signal of the second input signal) are input through the information of the multi-channel multi-output coupling control system of the adaptive filtering control algorithm (FX-LMS adaptive algorithm).

[0064] The following describes the FX-LMS adaptive algorithm of this application.

[0065] like Figure 2 As shown, the core of the active control algorithm of the present application is the FX-LMS adaptive algorithm. Therefore, the embodiment of the present application is also a coupled active control method. The FX-LMS adaptive algorithm of the present application is based on the principle of the steepest descent method, and uses the square value of the instantaneous error to replace the random gradient of the mean square error, avoiding the disadvantages brought by the general gradient estimation. The adaptive FX-LMS algorithm is widely used in the active control of vibration and noise. In actual engineering applications, the error signal e(n) is not a simple linear superposition of the filter output, that is, the controller input u(n) and the interference signal d(n). Figure 2 , there is a secondary channel H(z) between u(n) and e(n), and the corresponding pulse sequence is h(n).

[0066] The error signal calculation formula in the FX-LMS adaptive algorithm formula is as follows:

[0067] e(n)=d(n)-y(n) (1)

[0068] Wherein, e(n) represents the error signal, d(n) represents the vibration response signal (i.e., the interference signal), and y(n) represents the control signal.

[0069] The formula for ... is as follows:

[0070] y(n)=u(n)*H(n) (2)

[0071] Among them, y(n) represents the control signal, which is the actual response generated, u(n) represents the output signal, and H(z) represents the transmission channel.

[0072] The calculation formula of the output signal is as follows:

[0073] u(n)=W(n)*Z(n) (3)

[0074] Among them, u(n) represents the output signal, W(n) represents the weight, and Z(n) represents the accurate reference signal of different channels.

[0075] The calculation formula for ... is as follows:

[0076]

[0077] Among them, Z(n) represents the accurate reference signal of different channels, X(n) is the total reference signal of the system, which is used to adjust the convergence speed. Represents secondary channel parameters.

[0078] The weight formula is as follows:

[0079]

[0080] Among them, W(n) represents the weight, e(n) represents the error signal, X(n) represents the control system reference signal, and γ is a constant, which usually takes a very small value.

[0081] According to the above derived formulas (1), (2), (3), and (4), there are three unknown parameters for simulation, namely: H(n), Therefore, it is necessary to measure the transmission channel H(n) and calculate the secondary channel parameters according to the secondary channel correction algorithm. And collect the vibration response signal d(n).

[0082] When the target object is in the target working condition, each time the vibration response signal d(n) is collected, the actual force generated is different, the measurement point is different, and the sampling time is different. Therefore, it is necessary to calculate the error signal of the vibration response signal based on the vibration response signal collected each time, and then simulate and output the first vibration response signal based on the error signal.

[0083] During the above FX-LMS adaptive algorithm processing, the transfer channel H(n) can be obtained by measurement, and the secondary channel parameters It needs to be calculated through the secondary channel correction algorithm. The processing process of the secondary channel correction algorithm is introduced below.

[0084] The main purpose of the secondary channel conversion algorithm is to realize the transfer path (also called transfer channel) matrix obtained by the hammering method through algorithm conversion.

[0085] arrive The conversion formula is as follows:

[0086]

[0087] in, represents the secondary channel parameters, represents the transfer path matrix, h() represents the conversion relationship function, and in one example, h() indicates that the two are equivalent, that is, equivalent to multiplying by 1.

[0088] Figure 2 The transmission channel H(n) in has the same meaning as the secondary channel parameter, namely:

[0089]

[0090] Among them, H(n) represents the transmission channel, represents the secondary channel parameters, represents the transfer path matrix.

[0091] For a specific target object, the vibration response signal of each measuring point recorded by the acquisition module can be considered as the interference signal of the adaptive active control algorithm, that is:

[0092]

[0093] Where d(n) represents the interference signal (vibration response signal), Represents the estimated value of the interference signal. The two are equivalent, one is the actual physical response and the other is the collected signal.

[0094] Thus, for a coupled control system with N inputs and M outputs, the transfer path matrix and the conversion formulas of each secondary channel are as follows:

[0095]

[0096] Among them, among them, represents the secondary channel parameters, represents the transfer path matrix, h() represents the conversion relationship function, and in one example, h() indicates that the two are equivalent, that is, equivalent to multiplying by 1.

[0097] The expression of interference signal of each channel is as follows:

[0098]

[0099] Where d(n) represents the interference signal (vibration response signal), Represents the estimated value of the interference signal. The two are equivalent, one is the actual physical response and the other is the collected signal.

[0100] In step S104 , when the first vibration response signal meets a preset standard, the positions and numbers of the control points and the measuring points are recorded and output.

[0101] In another embodiment of the present application, the method further includes: when the first vibration response signal does not meet the preset standard, adjusting the positions of the control points and the measuring points, and then re-executing the steps of collecting the first input signals at each control point and each measuring point of the target object, and determining the transmission channel and secondary channel parameters between each control point and each measuring point based on the first input signal, and collecting the second input signal at each measuring point of the target object, and determining the error signal of the second input signal based on the second input signal, until the first vibration response signal meets the preset standard.

[0102] Adjusting the positions of the control points and measuring points can be done based on experience, or by determining locations with greater vibration based on simulation results, and then placing the hammer or vibration sensor at those locations. This often requires multiple trials and errors to accurately determine the positions of the control points and measuring points.

[0103] This application takes a high-power diesel engine as the target object, and simulates and predicts the control effect of the intended installation position of the vibration sensor of the high-power diesel engine based on the mechanical impedance characteristics of the actual diesel engine and the vibration characteristics under the target working conditions. According to the simulation of the control effect, the intended installation position of the actuator and the intended installation position of the vibration sensor are continuously adjusted until the control effect meets the design standard. Finally, the actuator design parameters and control strategy are solidified, that is, the position and number of the control points and the measuring points are recorded and output.

[0104] In another embodiment of the present application, Figure 3 According to an embodiment of the present application, the vibration active control decision method 300 based on impulse response may include the following steps: S301, S302, S303, S304, S305, S306, S307, S308 and S309.

[0105] S301, determining the transmission channels between each hammering point and each vibration measuring point;

[0106] S302, determining secondary channel parameters;

[0107] S303, recording the interference signal at each vibration measuring point under the steady-state target working condition;

[0108] S304, determining each error signal;

[0109] S305, uses FX-LMS adaptive algorithm for calculation;

[0110] S306, control effect simulation;

[0111] S307, determining whether the control effect meets expectations; if so, executing step S308, otherwise returning to executing steps S301 and S303;

[0112] S308, solidifying the actuator design parameters;

[0113] S309, solidify the control strategy design plan.

[0114] Figure 4 Shown for implementation Figure 3 The schematic diagram of the transmission channel test of a high-power diesel engine in a stationary state is shown in FIG. Figure 4 A powerful hammer 402 is installed at each control point of the high-power diesel engine 401, and a vibration sensor 403 is installed at each measuring point of the high-power diesel engine. The vibration sensor 403 is connected to a signal acquisition module 404, the signal acquisition module is connected to an analysis instrument 405, and the analysis instrument 405 is connected to a processing module 406. When the powerful hammer hits each control point, a pulse signal and a vibration signal are generated. The signal acquisition module collects the pulse signal and the vibration signal. The analysis instrument measures the transmission channel between each control point and each measuring point. The processing module can use a secondary channel correction algorithm to calculate based on the transmission channel to determine the transmission channel (also called the transmission path) matrix.

[0115] Figure 5 Shown for implementation Figure 3 The vibration active control decision method 300 based on impulse response is shown as a schematic diagram of the vibration signal test of each measuring point in the high-power diesel engine 401 under the running state. Figure 5 , the connection method of each hardware part is as follows Figure 4 As shown, no further details will be given here. Figure 4 The difference is that the high-power diesel engine 401 will generate a vibration signal when it is running. The vibration sensor 403 will collect the vibration signal. The signal acquisition module 404 collects the vibration signal. The analysis instrument 405 sends the vibration signal to the processing module 406. The processing module 406 processes it to obtain the control target vibration signal (that is, the error signal mentioned above).

[0116] Combine Figure 6 ,pass Figure 4 and Figure 5 The process shown can obtain the transfer channel matrix and error signal The processing module can then calculate the transmission channel matrix The secondary channel conversion module (secondary channel correction algorithm) is used for calculation, and the error signal is processed by adaptive filtering (LMS). The dt matching module between sampling points is used to match and the two processing results are calculated to obtain the final vibration response, that is, the control effect.

[0117] Continue to combine Figure 3 , as Figure 6 When the control effect shown does not meet expectations, you can adjust the hammer point (i.e., control point) and vibration measurement point, adjust the vibration measurement point, then re-excite, and collect test data of the control point and measurement point to simulate the control effect until the final control effect meets expectations.

[0118] In another embodiment of the present application, Figure 7 As shown, in the embodiment of the present application, the vibration signal is sent to the control module 701 (the processing module may be part of the control module). The control module 701 then determines whether the control effect meets the expectations. If not, it can send a speed signal to the high-power diesel engine 401 and send a control signal through the power amplifier module 702 to adjust the positions of the control point and the measuring point. When the control effect meets the expectations, the actuator design parameters and the control strategy design scheme are solidified.

[0119] When targeting a new target object, the present application does not necessarily process the collected data in real time, but may also collect actual test data (for example, the transmission channel and secondary channel parameters mentioned above). After obtaining the vibration response signal d(n), the actual test data is evaluated offline or online when convenient. Then, the optimal evaluation result is determined based on the control effect, the optimal installation position of the actuator and vibration sensor is determined, and the maximum control force requirement of the actuator in different positions is determined, providing a strong basis and guidance for the design of subsequent control solutions.

[0120] The following combination Figure 8 The vibration active control system based on impact response of the present application is described, wherein: Figure 8 A schematic block diagram of an impulse response-based vibration active control decision system 800 according to an embodiment of the present application is shown.

[0121] like Figure 8 As shown, the system 800 includes:

[0122] an actuator, configured to generate a first stimulus when the target object is in a stationary state;

[0123] a signal acquisition module, configured to acquire a first input signal when the target object is under a first stimulus, and a second input signal when the target object is under a second stimulus;

[0124] an analysis module, configured to determine transmission channel and secondary channel parameters between each of the control points and each of the measurement points based on the first input signal, and to determine an error signal of the second input signal based on the second input signal;

[0125] The processing module is configured to perform simulation using an adaptive filtering control algorithm based on the transmission channel, the secondary channel parameters, and the error signal, and output a first vibration response signal; and when the first vibration response signal meets a preset standard, record and output the positions and numbers of the control points and the measuring points.

[0126] In one example, the actuator system includes:

[0127] The actuator includes a hammer 801, and when the hammer 801 strikes the target object, the first excitation is generated;

[0128] The signal acquisition module 404 includes a vibration sensor 403;

[0129] The processing module (not shown in the figure) includes a memory and a processor, and the memory stores a computer program executed by the processor. When the computer program is executed by the processor, the processor executes the vibration active control decision method based on impulse response according to any one of claims 1 to 10.

[0130] The analysis module may be an analysis instrument 405 .

[0131] In addition, according to an embodiment of the present application, a storage medium is also provided, on which program instructions are stored. When the program instructions are executed by a computer or processor, the computer or processor is used to execute the corresponding steps of the vibration active control decision method based on impulse response according to the embodiment of the present application. The storage medium may include, for example, a memory card of a smartphone, a storage component of a tablet computer, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disc read-only memory (CD-ROM), a USB memory, or any combination of the above storage media.

[0132] The vibration active control decision system and storage medium based on impulse response of the embodiments of the present application have the same advantages as the aforementioned vibration active control decision method based on impulse response because they can implement the aforementioned vibration active control decision method based on impulse response.

[0133] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely illustrative and are not intended to limit the scope of the present application. Various changes and modifications may be made therein by those skilled in the art without departing from the scope and spirit of the present application. All such changes and modifications are intended to be included within the scope of the present application as required by the appended claims.

[0134] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0135] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units described is merely a logical function division. In actual implementation, other division methods may be used, such as combining or integrating multiple units or components into another device, or ignoring or not performing some features.

[0136] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0137] Similarly, it should be understood that in order to streamline the present application and aid in understanding one or more of the various inventive aspects, in the description of the exemplary embodiments of the present application, the various features of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, this approach of the present application should not be interpreted as reflecting the intention that the application claimed for protection requires more features than those explicitly recited in each claim. More precisely, as reflected in the corresponding claims, the inventive point is that the corresponding technical problem can be solved with fewer features than all the features of a single disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present application.

[0138] It will be understood by those skilled in the art that, except where mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or apparatus disclosed herein may be combined in any combination. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature providing the same, equivalent, or similar purpose.

[0139] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of this application and to form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.

[0140] The various component embodiments of the present application can be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some modules according to the embodiments of the present application. The application can also be implemented as a part or all of a device program (e.g., a computer program and a computer program product) for performing the method described herein. Such a program implementing the present application can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0141] It should be noted that the above embodiments illustrate rather than limit the present application, and that a person skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbols placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present application may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

[0142] The above description is merely a specific embodiment or illustration of a specific embodiment of the present application, and the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. The scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A vibration active control decision method based on impulse response, characterized in that: Applied to the control of ship vibration and noise, the method includes: Under a first excitation, first input signals are collected at each control point and each measuring point of the target object, and transmission channel and secondary channel parameters between each control point and each measuring point are determined based on the first input signals; wherein the first input signals include pulse signals at each control point and second vibration response signals at each measuring point; Under a second excitation, collecting a second input signal at each measuring point of the target object, and determining an error signal of the second input signal based on the second input signal; wherein the second input signal includes a third vibration response signal at each measuring point; Performing simulation using an adaptive filtering control algorithm according to the transmission channel, the secondary channel parameters, and the error signal, and outputting a first vibration response signal; When the first vibration response signal meets a preset standard, the positions and quantities of the control points and the measuring points are recorded and output.

2. The method according to claim 1, wherein The method further comprises: When the first vibration response signal does not meet the preset standard, the positions of the control points and the measuring points are adjusted, and then the steps of collecting the first input signals at the respective control points and the respective measuring points of the target object, determining the transmission channel and secondary channel parameters between the respective control points and the respective measuring points based on the first input signals, and collecting the second input signals at the respective measuring points of the target object, and determining the error signals of the second input signals based on the second input signals are re-executed until the first vibration response signal meets the preset standard.

3. The method according to claim 1, wherein Under a first stimulus, first input signals are collected at each control point and each measuring point of the target object, and transmission channels and secondary channel parameters between the control points and the measuring points are determined based on the first input signals, including: Under the first excitation, collecting the pulse signal at each of the control points and the second vibration response signal at each of the measuring points; measuring the transmission channel between each of the control points and each of the measuring points; According to the transmission channel, a secondary channel correction algorithm is used to perform calculations to obtain the secondary channel parameters.

4. The method according to claim 1, wherein in, When the target object is in a stationary state, the actuator generates a first excitation on the target object.

5. The method according to claim 1, wherein in, When the target object is in a target operating condition, the target object generates a second excitation.

6. The method according to claim 1, wherein The first input signal is generated by an actuator.

7. The method according to claim 6, wherein The actuator includes a hammer; when the hammer strikes the control point, a first excitation signal is generated.

8. The method according to claim 1, wherein The measuring point includes the installation location of the vibration sensor.

9. A vibration active control decision system based on impulse response, characterized in that: The system comprises: an actuator, configured to generate a first stimulus when the target object is in a stationary state; a signal acquisition module, configured to acquire a first input signal when the target object is under a first excitation, and a second input signal when the target object is under a second excitation; wherein the first input signal includes a pulse signal at each control point of the target object and a second vibration response signal at each measuring point of the target object; and the second input signal includes a third vibration response signal at each measuring point; an analysis module, configured to determine transmission channel and secondary channel parameters between each of the control points and each of the measurement points based on the first input signal, and to determine an error signal of the second input signal based on the second input signal; The processing module is configured to perform simulation using an adaptive filtering control algorithm based on the transmission channel, the secondary channel parameters, and the error signal, and output a first vibration response signal; and when the first vibration response signal meets a preset standard, record and output the positions and numbers of the control points and the measuring points.

10. The system according to claim 9, wherein The actuator includes a hammer, and when the hammer strikes the target object, the first excitation is generated; The signal acquisition module includes a vibration sensor.

11. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, enables the processor to execute the vibration active control decision method based on impulse response according to any one of claims 1 to 8.

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