Active control system with self-adaptive control strategy and working method thereof

Abstract

The invention discloses an active control system with a self-adaptive control strategy and a working method thereof. The active control system is characterized by comprising a vibration noise active control system and a control strategy incremental learning system, the control strategy incremental learning system comprises a noise source monitoring and evaluation module, a transmission path monitoring and evaluation module, a response surface control effect evaluation module, a control effect comprehensive evaluation module and a control strategy optimization design module; wherein the vibration noise active control system can realize a function of implementing control according to a certain strategy; the control strategy incremental learning system has the functions of matching and designing a control strategy according to the working condition information and feeding back the control strategy to the control system.

Description

Technical Field

[0001] The present invention belongs to the field of active control of ship vibration and noise, and specifically relates to an active control system with adaptive control strategy and its operating method. This technology is mainly applicable to strategy optimization design in engineering applications of active vibration and noise control systems. Background Art

[0002] In the research of active vibration and noise control technology, how to keep the control strategy highly matched with the system operating conditions to obtain better control performance has always been a key and difficult issue in active control technology. It is also a key issue that restricts the promotion and application of active control technology in engineering.

[0003] Aiming at the problem of control strategy matching design of active control systems under complex working conditions, this paper proposes an online adaptive matching method of control strategies based on incremental learning of working condition information, providing technical support for improving the performance of active control systems under complex and changing working conditions. Summary of the Invention

[0004] The present invention aims to propose an active control system with adaptive control strategy and its working method. By adopting incremental learning of working conditions and monitoring and evaluating control performance, the control strategy is optimized and adaptive matching of active control strategies is achieved, so as to achieve the purpose of improving the control performance of the active control system under complex working conditions.

[0005] An active control system with adaptive control strategy and its working method, including a vibration and noise active control system and a control strategy incremental learning system. The vibration and noise active control system can implement control according to a certain strategy. The control strategy incremental learning system has the function of matching and designing control strategies based on operating condition information and feeding it back to the control system. The control strategy incremental learning system includes a noise source monitoring and evaluation module, a transfer path monitoring and evaluation module, a response surface control effect evaluation module, a control effect comprehensive evaluation module, and a control strategy optimization design module. The noise source monitoring and evaluation module and the transfer path monitoring and evaluation module belong to the monitoring module, and the response surface control effect evaluation module and the control effect comprehensive evaluation module belong to the control effect comprehensive module.

[0006] Working principle of active control system with adaptive control strategy.

[0007] The active vibration and noise control system arranges control actuators and control sensors at the noise source, vibration and noise transmission path, vibration and noise response surface, etc., which can simultaneously realize the control implementation of the noise source, transmission path and vibration and noise response surface.

[0008] The control strategy incremental learning system arranges monitoring sensors at the noise source, vibration noise transmission path, vibration noise response surface and other locations. It can distinguish the vibration noise distribution of the noise source, transmission path and vibration noise response surface, and evaluate the overall state of the vibration noise environment.

[0009] The control effect comprehensive evaluation module in the control strategy incremental learning system uses the control effect comprehensive evaluation module to conduct a comprehensive real-time evaluation of the active control effect of the system based on the monitoring and evaluation results of the noise source monitoring module, the transfer path monitoring module and the response surface monitoring module. Based on the comprehensive evaluation results, it adopts big data driven, deep learning and other technologies to iteratively form an optimized control strategy in the control strategy iterative optimization module, and feeds the optimized control strategy back to the vibration noise active control system.

[0010] Based on the traditional active control system, the present invention sets up a control performance monitoring and working condition learning system. By implementing the overall performance monitoring of the control system combined with incremental learning of the working condition state, a matching control strategy is formed and fed back to the active control system to realize the adaptive matching design of the control strategy, ultimately achieving the purpose of improving the overall control performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Attachment Figure 1 Schematic diagram of an active control system with adaptive control strategy

[0012] Attachment Figure 2 A control strategy adaptive active control workflow diagram DETAILED DESCRIPTION

[0013] The present invention will be further described in detail below with reference to the accompanying drawings and examples. The specific implementation methods are as follows:

[0014] An active control system with adaptive control strategy and its working method, including a vibration and noise active control system and a control strategy incremental learning system. The vibration and noise active control system can implement control according to a certain strategy. The control strategy incremental learning system has the function of matching and designing control strategies based on operating condition information and feeding it back to the control system. The control strategy incremental learning system includes a noise source monitoring and evaluation module, a transfer path monitoring and evaluation module, a response surface control effect evaluation module, a control effect comprehensive evaluation module, and a control strategy optimization design module. The noise source monitoring and evaluation module and the transfer path monitoring and evaluation module belong to the monitoring module, and the response surface control effect evaluation module and the control effect comprehensive evaluation module belong to the control effect comprehensive module.

[0015] The working principle of active control system with adaptive control strategy is as follows Figure 1 shown.

[0016] The active vibration and noise control system arranges control actuators and control sensors at the noise source, vibration and noise transmission path, vibration and noise response surface, etc., which can simultaneously realize the control implementation of the noise source, transmission path and vibration and noise response surface.

[0017] The control strategy incremental learning system arranges monitoring sensors at the noise source, vibration noise transmission path, vibration noise response surface and other locations. It can distinguish the vibration noise distribution of the noise source, transmission path and vibration noise response surface, and evaluate the overall state of the vibration noise environment.

[0018] The control effect comprehensive evaluation module in the control strategy incremental learning system uses the control effect comprehensive evaluation module to conduct a comprehensive real-time evaluation of the active control effect of the system based on the monitoring and evaluation results of the noise source monitoring module, the transfer path monitoring module and the response surface monitoring module. Based on the comprehensive evaluation results, it adopts big data driven, deep learning and other technologies to iteratively form an optimized control strategy in the control strategy iterative optimization module, and feeds the optimized control strategy back to the vibration noise active control system.

[0019] The workflow of the active control system with adaptive control strategy is as follows:

[0020] 1. The active vibration and noise control system arranges control actuators and control sensors at the noise source, vibration and noise transmission path, and vibration and noise response surface, and implements control according to the initial control strategy for the noise source, transmission path, and response surface;

[0021] 2. The noise source monitoring module, transfer path monitoring module, and response surface monitoring module in the control strategy incremental learning system perform real-time control state monitoring on the acoustic states of the noise source, transfer path, and response surface, respectively;

[0022] 3. The control effect comprehensive evaluation module in the control strategy incremental learning system uses the monitoring and evaluation results of the noise source monitoring module, the transfer path monitoring module, and the response surface monitoring module to conduct a comprehensive real-time evaluation of the system's active control effect. Based on the comprehensive evaluation results, the control strategy iterative optimization module uses big data-driven, deep learning, and other technologies to iteratively form an optimized control strategy, and then feeds the optimized control strategy back to the vibration noise active control system.

[0023] 4. The active vibration and noise control system obtains the optimized control strategy from the control strategy incremental learning system, and implements active control based on the latest control strategy to adjust the control scheme of the noise source, vibration and noise transmission path, vibration and noise response surface and other locations.

[0024] In this way, real-time and high-level matching of the control strategy with the vibration and noise environment can be achieved, thus achieving adaptive optimization of the control strategy.

[0025] The present invention provides a working method for adaptive optimization of the control strategy of an active control system. This method can realize adaptive adjustment and optimization of the control strategy of the active control system in complex environments, so that the control strategy maintains a high degree of matching with the acoustic environment, and effectively improves the control performance of the active control system.

Claims

1. An active control system with adaptive control strategy and its operating method, characterized by: It includes a vibration and noise active control system and a control strategy incremental learning system; the control strategy incremental learning system includes a noise source monitoring and evaluation module, a transmission path monitoring and evaluation module, a response surface control effect evaluation module, a control effect comprehensive evaluation module and a control strategy optimization design module; among them, the vibration and noise active control system can realize the function of implementing control according to a certain strategy; the control strategy incremental learning system has the function of matching and designing control strategies according to working condition information and feeding it back to the control system.

2. The active control system with adaptive control strategy and the operating method thereof according to claim 1, characterized in that: The active vibration noise control system arranges actuators and sensors at the noise source, transmission path, response surface and other locations, and can carry out active control on the noise source, transmission path and response surface according to the specific plan of the control strategy.

3. The active control system with adaptive control strategy and the operating method thereof according to claim 1, characterized in that: The control strategy incremental learning system arranges monitoring sensors at the noise source, vibration noise transmission path, vibration noise response surface and other locations. It can distinguish the vibration noise distribution of the noise source, transmission path and vibration noise response surface, and evaluate the overall state of the vibration noise environment.

4. The active control system with adaptive control strategy and the operating method thereof according to claim 3, characterized in that: The control effect comprehensive evaluation module in the control strategy incremental learning system uses the control effect comprehensive evaluation module to conduct a comprehensive real-time evaluation of the active control effect of the system based on the monitoring and evaluation results of the noise source monitoring module, the transfer path monitoring module and the response surface monitoring module. Based on the comprehensive evaluation results, it adopts big data driven, deep learning and other technologies to iteratively form an optimized control strategy in the control strategy iterative optimization module, and feeds the optimized control strategy back to the vibration noise active control system.

5. The active control system with adaptive control strategy and the operating method thereof according to claim 4, characterized in that: The workflow of the active control system with adaptive control strategy is as follows: (1) The active vibration and noise control system arranges control actuators and control sensors at the noise source, vibration and noise transmission path, and vibration and noise response surface, and implements control according to the initial control strategy for the noise source, transmission path, and response surface; (2) The noise source monitoring module, transfer path monitoring module, and response surface monitoring module in the control strategy incremental learning system perform real-time control state monitoring on the acoustic states of the noise source, transfer path, and response surface respectively; (3) The control effect comprehensive evaluation module in the control strategy incremental learning system uses the control effect comprehensive evaluation module to conduct a comprehensive evaluation of the active control effect of the system in real time based on the monitoring and evaluation results of the noise source monitoring module, the transfer path monitoring module, and the response surface monitoring module. Based on the comprehensive evaluation results, the control strategy iterative optimization module uses big data drive, deep learning and other technologies to iteratively form an optimized control strategy, and then feeds the optimized control strategy back to the vibration noise active control system. (4) The active vibration and noise control system obtains the optimized control strategy from the control strategy incremental learning system, and implements active control based on the latest control strategy to adjust the control scheme of the noise source, vibration and noise transmission path, vibration and noise response surface, etc.

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