摘要
针对永磁直线同步电动机(PMLSM)伺服系统易受周期性扰动、参数摄动、摩擦力等不确定性因素影响而导致位置跟踪精度下降的问题,本文提出一种迭代超螺旋滑模控制方法。利用超螺旋滑模控制抑制不确定性因素的影响,增强系统的鲁棒性;迭代学习用于补偿周期性扰动并采用一种新型的学习律削弱系统抖振。基于Lyapunov稳定性理论,对控制系统的稳定性进行分析证明。仿真结果表明,所提控制方法能够提高PMLSM伺服系统鲁棒性,提高位置跟踪精度。
In order to solve the problem that the position tracking accuracy of permanent magnet linear synchronous motor(PMLSM)servo system is affected by periodic disturbance,parameters change,friction and other uncertain factors,an iterative super-twisting sliding mode control method is proposed.The super-twisting sliding mode control is used to restrain the influence of uncertain factors and enhance the robustness of the system.Iterative learning is used to compensate periodic disturbance and a new learning law is adopted to reduce chattering.Based on Lyapunov stability theory,the stability of the control system is analyzed and proved.Simulation results show that the proposed control method can improve the robustness and improve position tracking accuracy of PMLSM servo system.
作者
贺玉晓
王丽梅
HE Yuxiao;WANG Limei(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870)
出处
《电气技术》
2022年第6期24-29,共6页
Electrical Engineering
基金
国家自然科学基金项目(51875366)。
关键词
永磁直线同步电动机(PMLSM)
周期性扰动
迭代超螺旋滑模控制
位置跟踪
permanent magnet linear synchronous motor(PMLSM)
periodic disturbance
iterative super-twisting sliding mode control
position tracking
