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Research On Adaptive Fuzzy Control Of Magnetorheological Elastomer Isolation System With Time Delay

Posted on:2019-11-22Degree:MasterType:Thesis
Country:ChinaCandidate:J J LaiFull Text:PDF
GTID:2428330566977823Subject:Instrument Science and Technology
Abstract/Summary:PDF Full Text Request
In recent years,with the development of precision machining and precision measurement technologies,micro-vibration has a great influence on precision machining accuracy and measurement sensitivity.Due to the fixed structure and parameters,the traditional passive vibration isolator can not meet the vibration isolation requirements under the complex excitation environment;active vibration isolation energy consumption is large,and the high frequency is easy to be unstability.The semi-active control technology(ie.magneto-rheological elastomer)not only has the characteristics of low power consumption and good stability,but also can adjust parameters in real time according to external excitation changes,and has become a research hotspot in the field of vibration control.In practical applications,the vibration is often time-varying and there is a large delay in the control system.How to design a controller to enhance the robustness of the magnetorheological elastomer vibration isolation system and suppress vibration is the key to achieving a wide range of engineering applications.Therefore,this paper focuses on these issues in the application of semi-active control of magnetorheological elastomer isolators:(1)The fuzzy controller is designed according to the principle of semi-active control.The numerical simulation and experimental verification of the design of the robustness of fuzzy controller system under the changes of the excitation(amplitude,frequency),vibration isolation performance(stiffness,damping)and load quality.(2)Aiming at the issue of poor robustness of time-varying vibration for fixed-parameter fuzzy controllers,an adaptive fuzzy strategy is proposed.Based on the Ant colony algorithm,the adaptability of adjusting quantizing factor and scale factor is achieved,and the vibration attenuation is compared with that of conventional fuzzy controllers.Performance was compared.Through numerical simulation and control experiments,it is verified that the proposed controller can maintain good vibration attenuation effect for broadband and wide amplitude vibration.(3)In the real-time control of a magneto-rheological elastomer vibration isolation system,the sources of system delays are complex and diverse and have a great influence on the controller performance.For the control system lag problem,the source of the time lag is analyzed,and the influence of the delay of the control system on the performance is studied.The lagging law of the system is deduced through theory and the lagging size of the system is estimated.(4)The phase difference between the control signal and the response signal caused by the delay will affect the vibration suppression effect and even amplify the vibration.In order to further improve the performance of the controller,the functional relationship between the time delay and the delay was deduced.A self-adjusting lag compensator was designed.Through experiments,it is verified that the designed lag compensation mechanism can further improve the vibration attenuation effect,broaden the vibration control frequency range,and have lower energy consumption.
Keywords/Search Tags:Magnetorheological Elastomer Isolator, Fuzzy Controller Robustness, Ant colony algorithm, Self-tuning Fuzzy Control, response time, time-delay compensator
PDF Full Text Request
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