Research On Hysteresis Compensation And Adaptive Control Of Intelligent Structures Based On Prandtl-Ishlinskii Model

With the continuous progress of human technology,many vehicles choose intelligent structures in the design of body structure to improve the structural performance.Intelligent structure was born from the interpenetration of information science engineering and materials science.In addition to having the same bearing capacity as general structures,it can respond to internal and external environmental changes.It has high accuracy,fast response,high resolution,and small size.And other features,while having self-diagnosis,self-adaptive,self-healing and other functions.At the same time,the hysteresis characteristics of intelligent structures have received more and more attention.Such hysteresis characteristics not only affect the output accuracy of the system,but even threaten the stability of the system.In order to better apply the intelligent structure to the problem of structural vibration of automobile body panels,this paper makes in-depth research on the free vibration of the intelligent cantilever beam system,and proposes an adaptive composite control strategy to achieve hysteresis compensation and vibration control.The main research content And the conclusion is as follows:In modeling the hysteresis of intelligent cantilever beams,by analyzing the causes of the hysteresis phenomenon,based on the genetic algorithm,the parameters of the Bouc-Wen model are identified to obtain the hysteresis model of the intelligent structure.The comparison of simulation results with experimental data shows that the Bouc-Wen model can effectively describe the hysteresis characteristics of intelligent cantilever beams with small errors and high accuracy,and can be used to simulate intelligent cantilever beams.In the design of intelligent structure adaptive composite control,first adaptive adaptive PI(Prandtl-Ishlinskii)inverse control adopted in the adaptive composite control feed-forward link is used to simulate intelligence by identifying the positive structure PI(Prandtl-Ishlinskii)positive model online in real time.The hysteresis characteristic of the cantilever beam is based on the PI positive model of the intelligent cantilever beam to obtain the PI inverse model.The PI inverse model is applied to the feedforward loop of the control system to compensate the hysteresis characteristic of the intelligent cantilever beam.Simulation results show that under adaptive PI inverse control,the output response of the intelligent cantilever beam can accurately track the expected signal,and the hysteresis characteristic can effectively compensate the hysteresis.Secondly,the minimum variance self-correction control strategy adopted in the adaptive composite control feedback link uses the least squares method to identify the ARMAX model to obtain model parameters.Based on these model parameters,the real-time minimum variance control law is designed to achieve the minimum variance self-correction of the intelligent cantilever structure.control.Finally,based on the theory of PI inverse control and minimum variance self-correction control,a composite control strategy composed of feed-forward PI inverse control and feedback minimum variance self-correction control is designed.The intelligent cantilever beam is controlled using a combination of open-loop and closed-loop control methods.Perform hysteresis compensation and vibration control.Based on Bouc-Wen hysteresis model and intelligent structure adaptive composite control theory research,numerical simulation and experimental verification research methods are used to verify the feasibility and effectiveness of the adaptive composite control strategy for intelligent cantilever beam vibration control.The simulation and experimental results agree that compared with the case without hysteresis compensation,after adding PI inverse control,the control system with hysteresis compensation has a better effect on the free vibration control of intelligent structures.