Active control system efficiency optimization method
By optimizing the active control system in steps, the problem of low efficiency of the control system in complex environments is solved, efficient control under conditions of fewer actuators and sensors is achieved, and system performance is improved.
Patent Information
- Application Number
- CN202510327255.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2025-03-18
- Filing Date
- 2025-03-19
- Publication Date
- 2025-08-01
AI Technical Summary
In complex environments, existing active control systems are difficult to achieve efficient control under the conditions of using fewer actuators and sensors, and are prone to negative effects outside the target area, limiting their wide application.
By arranging the control effect evaluation system and performance optimization subsystem, the active control system is optimized in six steps, including monitoring vibration and noise changes, configuring sensors and actuators at the same time, combining the working conditions of the random opening channel, analyzing the correlation, optimizing effective channels and evaluating the optimization results until the needs are met.
It achieves high control performance at a small cost of software and hardware in complex environments, reduces control channels and improves system performance.
Smart Images
Figure CN120406596A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of active vibration and noise control, and specifically relates to a method for optimizing the effectiveness of active control systems. This technology is mainly applicable to the optimization design of control systems in engineering applications of active vibration and noise control systems. Background Art
[0002] In the application of active vibration and noise control technology in complex environments, how to optimize the efficiency of the control system so that it can achieve better control effects while using fewer actuators and sensors, especially to avoid the negative effects of the active control system outside the target area, has always been a key issue of concern in academia and industry. It is also a key problem that restricts the widespread promotion and application of active control systems in complex environments.
[0003] Aiming at the problem of optimizing the performance of active control systems for vibration and noise in complex environments, the present invention proposes a control system performance optimization method based on feature correlation, providing technical support for the efficiency optimization of active control systems in complex environments. Summary of the Invention
[0004] This paper aims to propose an active control system performance optimization method applicable to complex acoustic environments. By deploying a control effect evaluation system and an effectiveness optimization subsystem, the correlation between each control system channel and the control effect is evaluated. The control system configuration is optimized to enhance the performance and efficiency of the active control system.
[0005] An active control system performance optimization method is developed. By arranging a control effect evaluation system and a performance optimization subsystem, the active control system performance optimization is carried out in six steps. The workflow is as follows: Figure 1 shown.
[0006] Step 1: Place a control effect evaluation system at the control target to monitor changes in vibration and noise at the control target.
[0007] Step 2: Arrange the active control system according to the initial design (usually the control system sensors are arranged near the actuators to achieve a co-location configuration);
[0008] Steps 1 and 2 enable the implementation of the active control system control scheme.
[0009] Step 3: While the noise source system is running, the channels of the active control system are turned on one by one, and the changes in the vibration noise at the control target in the corresponding turned-on state are recorded to evaluate the control effect.
[0010] In step 4, while the noise source system is running, the active control system channels are randomly opened, multiple operating conditions are combined, and the changes in the vibration noise at the control target under the corresponding operating conditions are recorded to evaluate the control effect;
[0011] Step 5: Analyze the correlation between the control channels and the changes in vibration and noise at the control target, and select and retain the control channels that are strongly correlated with the reduction of vibration and noise at the control target.
[0012] Step 6: Evaluate whether the optimization results of the control system meet the optimized requirements in terms of the number of channels, control effect, etc. If they meet the requirements, obtain the control scheme with the final optimized configuration. If the number of control channels or the control effect does not meet the requirements, repeat Steps 2 - 5 until a control scheme that meets the requirements is obtained.
[0013] The present invention provides a method for optimizing the effectiveness of an active control system. This method can achieve rapid optimization of the efficiency of the active control system in a complex environment, enabling the control system to obtain high control performance at a relatively low cost of the control system's software and hardware in a complex acoustic environment. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Appendix Figure 1 Flowchart of a method for optimizing the effectiveness of an active control system
[0015] Appendix Figure 2 Schematic diagram of a typical example of a method for optimizing the effectiveness of an active control system DETAILED DESCRIPTION OF THE EMBODIMENTS
[0016] The following further describes the present invention in detail with reference to the accompanying drawings. The specific implementation manners are as follows:
[0017] A method for optimizing the effectiveness of an active control system, by arranging a control effect evaluation system and an effectiveness optimization subsystem, and carrying out the optimization of the effectiveness of the active control system in six steps. The work flow is as Figure 1 shown.
[0018] Step 1: Arrange a control effect evaluation system at the control target to monitor the changes in vibration and noise at the control target.
[0019] Step 2: Arrange the active control system according to the initial design scheme (usually, the sensors of the control system are arranged near the actuators to achieve co-location configuration).
[0020] Steps 1 and 2 implement the implementation of the control scheme of the active control system. [[ID=…]]
[0021] Step 3: With the noise source system running, turn on each channel of the active control system one by one, and record the changes in vibration and noise at the control target under the corresponding on states for control effect evaluation.
[0022] Step 4: With the noise source system operating, combine multiple working conditions by randomly turning on the channels of the active control system, record the changes in vibration and noise at the control target corresponding to the working conditions, and evaluate the control effect;
[0023] Step 5: Analyze the correlation between the control channels and the changes in vibration and noise at the control target, and optimize and retain the control channels that are strongly correlated with the reduction of vibration and noise at the control target;
[0024] Step 6: Evaluate whether the optimization results of the control system meet the optimized requirements in terms of the number of channels, control effect, etc. If they meet the requirements, obtain the finally optimized control scheme. If the number of control channels or the control effect does not meet the requirements, repeat Steps 2 - 5 until a control scheme that meets the requirements is obtained.
[0025] Embodiment
[0026] The working method will be further described below in combination with an example of active control of hull structure vibration. The working principle of an active control system efficiency optimization method is as Figure 2 shown.
[0027] In the active control of hull structure vibration, active actuators and sensors are usually arranged on the vibration transmission path to reduce hull vibration by suppressing vibration transmission on the path. Due to the complex structure of the ship system and severe coupling of vibration transmission channels, it often occurs that the vibration generated by the active actuators arranged on the transmission path is transmitted out through other paths, which has a negative effect on the control performance and seriously affects the overall efficiency of the control system. Therefore, it is necessary to optimize the efficiency of the active control system.
[0028] In this context, the active control system efficiency optimization method will be elaborated in detail in combination with the content of the present invention:
[0029] Step 1: Arrange a control effect evaluation system, i.e., the hull structure vibration monitoring system ①, at the control target of concern (i.e., the hull structure) to monitor the changes in hull structure vibration;
[0030] Step 2: According to the result of the scheme design, arrange active actuators and sensors ② at the suspected vibration transmission points to achieve co-location configuration;
[0031] Step 3: With the noise source equipment operating, turn on the active control channels one by one, record the changes in hull structure vibration in the corresponding state, and evaluate the control effect;
[0032] Step 4: With the noise source equipment operating, combine multiple working conditions by randomly turning on the channels of the active control system, record the changes in hull structure vibration in the corresponding working conditions, and evaluate the control effect;
[0033] Step 5: Analyze the correlation between the opening state of the control channels and the changes in the hull structure vibration, and preferably retain the control channels that are highly positively correlated with the reduction in the hull structure vibration.
[0034] Step 6: Evaluate whether the optimization results of the control system meet the optimized requirements in terms of the number of channels, control effect, etc. If it meets the requirements, remove the control channels in the active control system that are not relevant or negatively correlated with the reduction in the hull structure vibration (i.e., the channels where the vibration reduction is not obvious or even amplified after the opening of the channel), and retain the channels that can effectively reduce the hull structure vibration to complete the configuration of the control system and achieve the optimization of the efficiency. If the number of control channels or the control effect does not meet the requirements, repeat Steps 2 - 5 until a control scheme that meets the requirements is obtained.
[0035] Thus, the present invention can reduce the number of control channels while maintaining the same control performance, and even further improve the control system effect, achieving the purpose of optimizing the control system efficiency.
Claims
1. An active control system effectiveness optimization method, characterized in that: By arranging a control effect evaluation system and an efficiency optimization subsystem, the correlation between each channel of the control system and the control effect is evaluated.
2. The method for optimizing the effectiveness of an active control system according to claim 1, characterized in that: The active actuator and the control sensor are arranged in a co-located configuration; by analyzing the correlation between the control channel and the control performance, the weakly correlated or negatively correlated control channels are identified and removed to achieve the efficiency optimization configuration of the control system; it can be applied to both the active vibration control system and the active noise control system simultaneously.
3. An active control system efficiency optimization method according to claim 2, wherein: The active control system efficiency optimization is carried out in six steps, and the working steps are as follows: Step 1, arrange a control effect evaluation system at the control target to monitor the changes in vibration and noise at the control target. Step 2, arrange the active control system according to the initial design scheme (usually, the sensors of the control system are arranged near the actuators to achieve co-located configuration). Steps 1 and 2 implement the control scheme of the active control system. Step 3, with the noise source system running, turn on each channel of the active control system one by one and record the changes in vibration and noise at the control target under the corresponding on state for control effect evaluation. Step 4, with the noise source system running, randomly turn on the channels of the active control system to combine multiple working conditions and record the changes in vibration and noise at the control target under the corresponding working conditions for control effect evaluation. Step 5, analyze the correlation between the control channel and the changes in vibration and noise at the control target, and select and retain the control channels that are strongly correlated with the reduction of vibration and noise at the control target. Step 6, evaluate whether the optimization results of the control system meet the optimized requirements in terms of the number of channels, control effect, etc.; if they meet the requirements, the finally optimized control scheme is obtained; if the number of control channels or the control effect does not meet the requirements, repeat steps 2 to 5 until a control scheme that meets the requirements is obtained.