摘要
主动电磁轴承(AMB)具有低能耗、无磨损、无污染的优点,已广泛用于支撑高速鼓风机等旋转机械。传统的AMB大多采用线性PID控制器,在应用上存在一定的局限性。本文提出了一种改善电磁轴承性能的变参数非线性PID控制方法,在Matlab/Simulink平台上搭建了控制系统动态模型,并利用遗传算法寻找非线性增益函数中待定参数的最优组合。通过算例比较了线性PID和非线性PID两种控制方案,表明本文提出的非线性控制方案具有更好的控制效果。
Active magnetic bearings(AMBs)have been widely used in turbomachinery such as high speed blowers for their low power loss,no wear and no pollution.The majority if conventional controlling of AMBs relies on linear PID controllers which have certain limitation in applications.In this paper,a method for nonlinear PID control is proposed with variable parameters to improve the performance of active electromagnetic bearing system.The dynamic model of the control system is built on Matlab/Simulink platform,and the genetic algorithm is used to find the optimal combination of undetermined parameters in the nonlinear gain functions.The linear control scheme is compared with the nonlinear control scheme,and the results show that the nonlinear PID has a better control effect.
作者
刘路
王跃方
Lu Liu;Yue-fang Wang(Department of Engineering Mechanics,Dalian University of Technology;Collaborative Innovation Center of Major Machine Manufacturing in Liaoning)
出处
《风机技术》
2020年第4期55-60,共6页
Chinese Journal of Turbomachinery
基金
中央高校基本科研业务费(DUT18ZD221)
国家自然科学基金(U1808214)。
关键词
电磁轴承
非线性PID
遗传算法
仿真
Active Magnetic Bearing
Nonlinear PID
Genetic algorithm
Simulation
