摘要
针对由永磁同步直线电机驱动的快速刀具直线伺服系统在高频输入信号下跟踪控制精度低的问题,设计了模糊自适应滑模控制算法.算法采用滑模控制进行跟踪,利用模糊自适应控制方法对传统滑模控制器中的不连续控制量进行模糊逼近,同时对实际运行中系统的不确定因素进行补偿,并设计了相应的自适应算法以补偿模糊控制律的不足,从而有效降低抖振.仿真结果表明,算法可以解决伺服系统的高频跟踪问题,具有较快的响应速度,对负载扰动有较强的鲁棒性.
In order to improve the tracking control precision of fast tool linear servo system driven by permanent magnet synchronous linear motor( PM LSM) under the high frequency input signal,a fuzzy adaptive sliding mode control algorithm was designed. The tracking control was performed with the sliding mode control,and the fuzzy approximation of discontinuous control amount in the traditional sliding model controller was carried out with the fuzzy adaptive control method. M eanwhile,the uncertain factors in the practical operating system were compensated,and the corresponding adaptive algorithm was designed to compensate the lack of fuzzy control lawand thus to effectively reduce the chattering. The simulated results showthat the proposed algorithm can perfectly solve the high frequency tracking problem of servo system,and has faster response speed and stronger robustness to load disturbances.
出处
《沈阳工业大学学报》
EI
CAS
北大核心
2015年第2期126-131,共6页
Journal of Shenyang University of Technology
基金
国家自然科学基金资助项目(51175349)
2013年辽宁省"百千万人才工程"资助项目(2013921049)
关键词
永磁同步直线电机
伺服刀具系统
滑模控制
模糊自适应
抖振
高频跟踪
响应速度
鲁棒性
permanent magnet synchronous linear motor
servo tool system
sliding mode control
fuzzy adaption
chattering
high frequency tracking
response speed
robustness
