首页 | 本学科首页   官方微博 | 高级检索  
     

基于状态观测器增益自调整的交流伺服系统
引用本文:张志锋,郭庆鼎.基于状态观测器增益自调整的交流伺服系统[J].组合机床与自动化加工技术,2007(1):65-68.
作者姓名:张志锋  郭庆鼎
作者单位:沈阳工业大学,电气工程学院,沈阳,110023
摘    要:针对永磁同步交流伺服系统易受机械参数的变化和负载扰动的影响,论文设计了一个负载观测器,并采用递推最小二乘法对系统的转动惯量和粘滞摩擦系数进行了在线辨识,然后用辨识得到的转动惯量和粘滞摩擦系数对系统参数进行更新,保证了观测器的精度。采用极点配置法设计的观测器增益可以根据前面估计得到的转动惯量和粘滞摩擦系数在线调整,使该观测器在自身的机械参数发生剧烈变化时,仍能准确地观测突加的外部负载扰动进行补偿,大大提高了伺服系统的精度。仿真结果表明,系统在转动惯量和粘滞摩擦系数发生变化时,基于负载观测器增益自调整的高精度永磁交流伺服系统无论是在上升时间,速度跟踪的精确性和鲁棒性方面都优于传统的负载观测器的增益固定的控制方案。

关 键 词:永磁同步电动机  递推最小二乘法  惯量辨识  状态观测器  自校正控制  极点配置
文章编号:1001-2265(2007)01-0065-04
修稿时间:2006-07-25

AC servo system based on gain self-tuning state observer
ZHANG Zhi-feng,GUO Qing-ding.AC servo system based on gain self-tuning state observer[J].Modular Machine Tool & Automatic Manufacturing Technique,2007(1):65-68.
Authors:ZHANG Zhi-feng  GUO Qing-ding
Affiliation:School of Electrical Engineering, Shenyang University of Technology, Shenyang 110023 ,China
Abstract:For the characteristic of permanent magnet synchronous motor servo system is prone to suffer from the effect of load disturbances and parameters variations,this paper designs a load observation and identifies the inertia and friction coefficient of the system on-line based on RELS(recursive extended least square).In order to guarantee the precision of observer,rotational inertia and friction coefficient that have been identified are used to update the parameters of the system and the gain of observer can self-tune on-line based on the identified rotational inertia and friction coefficient by pole assignment,so the observer can observe the sudden external load disturbance precisely and compensate accordingly when the parameters of the system varied severely.By doing so,the precision of the servo system can be improved greatly.The simulation results show that the high precision permanent magnet synchronous motor servo system based gain self-tuning load observer outperforms the traditional one based on fixed gain load observer in rise time,precise track of velocity,and robustness when the inertia and friction coefficient varied.
Keywords:PMSM  RLS  Inertia Identification  State Observer  Self-tuning  Pole-placement
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号