基于卡尔曼滤波器的交流伺服系统自适应滑模控制

邓永停; 李洪文; 王建立; 贾建禄

doi:10.3788/OPE.20142208.2088

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基于卡尔曼滤波器的交流伺服系统自适应滑模控制

微纳技术与精密机械 | 更新时间：2020-08-13

- 基于卡尔曼滤波器的交流伺服系统自适应滑模控制
- Adaptive sliding mode control for AC servo system based on Kalman filter
- 光学精密工程 2014年22卷第8期页码：2088-2095
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
- 作者简介：
- 基金信息：
  
  中国科学院长春光学精密机械与物理研究所三期创新工程资助项目（No.065X32CN60）()
- DOI：10.3788/OPE.20142208.2088
  中图分类号： TP273.2;TM351
- 收稿日期：2013-09-09，
  
  修回日期：2013-10-17，
  
  纸质出版日期：2014-08-25
- 稿件说明：
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邓永停, 李洪文, 王建立等. 基于卡尔曼滤波器的交流伺服系统自适应滑模控制[J]. 光学精密工程, 2014,22(8): 2088-2095

DENG Yong-ting, LI Hong-wen, WANG Jian-li etc. Adaptive sliding mode control for AC servo system based on Kalman filter[J]. Editorial Office of Optics and Precision Engineering, 2014,22(8): 2088-2095
邓永停, 李洪文, 王建立等. 基于卡尔曼滤波器的交流伺服系统自适应滑模控制[J]. 光学精密工程, 2014,22(8): 2088-2095 DOI： 10.3788/OPE.20142208.2088.

DENG Yong-ting, LI Hong-wen, WANG Jian-li etc. Adaptive sliding mode control for AC servo system based on Kalman filter[J]. Editorial Office of Optics and Precision Engineering, 2014,22(8): 2088-2095 DOI： 10.3788/OPE.20142208.2088.

摘要

为了减小负载转矩扰动和系统参数摄动对永磁同步电机控制系统的影响，提出了一种基于卡尔曼滤波器的自适应滑模速度控制器。该控制器由自适应律估计参数摄动项，用卡尔曼滤波器估计外部扰动项。设计了含积分作用的滑模面，以保证电机转速的无静差跟踪;采用了指数趋近律，以提高趋近速度并削弱抖振。卡尔曼滤波器估计得到的系统外部扰动前馈补偿至控制器的输出，用于有效降低滑模控制器的不连续切换项造成的系统抖振。实验结果显示：跟踪设定的600 r/min转速时，控制器稳态转速精度达到±1 r/min。电机在以600 r/min稳速运行时，设计的控制器在1.6 N·m的外部转矩扰动下的最大转速波动比传统PI控制器的转速波动减小了2% 。仿真分析和实验数据表明基于卡尔曼滤波器的自适应滑模控制器对交流伺服控制系统具有较强的抗扰动性、鲁棒性以及良好的稳态性能。

Abstract

An adaptive sliding mode controller based on Kalman filter was proposed to reduce load torque ripples and the influence of varying system parameters on the Permanent Magnet Synchronous Motor (PMSM) system. The varying system parameters were evaluated by the adaptive law

and the external disturbance was evaluated by the Kalman filter. The integral action contained in the sliding surface was designed to ensure the steady state error of tracking velocity zero

and the exponential reaching law was employed to increase the reaching speed and to suppress the chattering of sliding mode control. The external disturbance obtained by the Kalman filter was used for feed-forward compensation for the controller output

so the chattering caused by high sliding mode gains was decreased effectively. Experimental results demonstrate that the speed fluctuation is ±1 r/min when the motor reaches the steady state of 600 r/min. Compared with the traditional PI controller

the proposed controller decreases the speed fluctuation by 2% when the torque disturbance of 1.6 N·m is added at the steady speed of 600 r/min. These data verified by simulation and experimental results indicate that the adaptive sliding mode controller based on Kalman filter has anti-disturbance performance and robustness to the AC servo control systems and shows excellent stability.

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references

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