主动磁轴承的模型参考自适应控制实现  

Implementation of Model Reference Adaptive Control for Active Magnetic Bearings

作　　者：马啸宇[1] 张建生[1,2] 沈莹雅 王一夫[1,2] 

机构地区：[1]南通大学电气工程学院,江苏南通226019 [2]常州工学院电气与光电工程学院,江苏常州213002

出　　处：《自动化仪表》2016年第6期71-74,78,共5页Process Automation Instrumentation

基　　金：国家自然科学基金资助项目(编号:51175052);常州市科技基金资助项目(编号:CJ20130014)

摘　　要：常规PID控制存在参数整定困难及鲁棒性差等诸多缺点,难以达到高精度复杂控制系统的控制要求,因此,将模型参考自适应控制系统应用于对主动磁轴承转子的控制。通过比较被控对象与参考模型,得到自适应控制误差,驱动自适应调节器调整控制器参数,以减小系统误差,使被控对象达到期望输出。系统具有自学习能力,鲁棒性和恢复能力强,可以实现主动磁轴承系统的稳定控制。通过Matlab/Simulink环境及S-Function模块,建立了主动磁轴承的模型参考自适应控制系统模型,并进行了系统仿真。结果表明,模型参考自适应控制系统响应速度快,动态及稳态性能较好。Conventional PID control has many shortcomings, such as difficult parameters tuning and poor robustness, etc. , and it is difficult to meet the requirements of high precision and complex control system. The model reference adaptive control system is applied to the control of the active magnetic bearing rotor. The adaptive control error is obtained through comparing controlled object with reference model, and the parameters of controller are adjusted by driving adaptive controller, which can reduce the system error, and make the output of the controlled object reach the desired value. The system has the abilities of self-learning and recovery, and strong robustness; and can realize the stable control of the active magnetic bearing system. A model reference adaptive control system for active magnetic bearing is established through Matlab/Simulink environment and S-Function module. The simulation of system shows that the model reference adaptive control system features fast response speed and better dynamic and steady state performance.

关 键 词：主动磁轴承 模型参考自适应控制 鲁棒性 MATLAB/SIMULINK S-FUNCTION PID控制 

分 类 号：TH7[机械工程—仪器科学与技术] TP273.2[机械工程—精密仪器及机械]