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《Journal of Naval University of Engineering》 2017-03
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Control strategy for giant magnetostrictive actuator based on genetic algorithm tuning PID parameters

FENG Shao-wei;YANG Yun-sheng;ZHANG Jing;Office of Research & Development,Naval Univ. of Engineering;  
In order to improve the control precision and efficiency of giant magnetostrictive actuator,based on the analysis of the basic principle of giant magnetostrictive actuator,a mathematical model for the actuator control system is established.Then,the genetic algorithm tuning PID parameters are used to control actuator,and then simulation analysis is carried out based on Simulink,by which the actuator control block is established.The result shows that the control effect of genetic algorithm tuningPID parameters is better while it is compared with that of traditional PID.
【Fund】: 湖北省自然科学基金资助项目(2013CFB436)
【CateGory Index】: TP18;TP273
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