永磁同步电机非奇异快速终端可变边界层滑模控制

常雪剑 1; 刘凌 1; 崔荣鑫 2

doi:10.7652/xjtuxb201506009

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永磁同步电机非奇异快速终端可变边界层滑模控制

更新时间：2025-07-09

- 永磁同步电机非奇异快速终端可变边界层滑模控制
- A Nonsingular Fast Terminal Sliding Mode Controller with Varying Boundary Layers for Permanent Magnet Synchronous Motors
- 西安交通大学学报 2015年49卷第6期页码：53-59
- 作者机构：
  
  西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2014-12-19。作者简介: 常雪剑(1991—),女,硕士生;刘凌(通信作者),男,博士,讲师,硕士生导师。基金项目: 国家自然科学基金资助项目(51307130,61472325,51209174)
- DOI：10.7652/xjtuxb201506009
  中图分类号： TM301
- 网络首发：2015-06-10，
  
  纸质出版：2015
- 稿件说明：
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常雪剑 1, 刘凌 1, 崔荣鑫 2. 永磁同步电机非奇异快速终端可变边界层滑模控制[J]. 西安交通大学学报, 2015,49(6):53-59.

A Nonsingular Fast Terminal Sliding Mode Controller with Varying Boundary Layers for Permanent Magnet Synchronous Motors[J]. 2015, 49(6): 53-59.
常雪剑 1, 刘凌 1, 崔荣鑫 2. 永磁同步电机非奇异快速终端可变边界层滑模控制[J]. 西安交通大学学报, 2015,49(6):53-59. DOI： 10.7652/xjtuxb201506009.

A Nonsingular Fast Terminal Sliding Mode Controller with Varying Boundary Layers for Permanent Magnet Synchronous Motors[J]. 2015, 49(6): 53-59. DOI： 10.7652/xjtuxb201506009.

摘要

针对永磁同步电机(PMSM)调速系统易受到参数不确定性及负载扰动的影响

提出了一种新型可变边界层的非奇异快速终端滑模(NFTSM)控制策略。首先

构建可在有限时间内快速收敛的非奇异快速终端滑模面; 然后

采用角速度与q轴定子参考电流的二阶模型设计速度环滑模控制器

减小了角速度与q轴定子参考电流一阶模型所引起的误差

并避免了终端滑模面奇异问题; 最后

设计可变边界层使误差减小至阈值时系统状态切换至小边界层

实现抖振和跟踪精度的协调控制。数值仿真结果表明

NFTSM控制策略与传统PI控制策略相比

转速超调量小

响应速度快

稳态精度近似为0

对参数摄动和负载扰动鲁棒性强

且在有效削弱抖振的同时保证了转速的稳态精度。

Abstract

A nonsingular fast terminal sliding mode(NFTSM)controller with varying boundary layers is proposed to solve the problem that speed-regulation systems of permanent magnet synchronous motors(PMSM)are susceptible to parameter uncertainties and disturbances of external loads. The sliding mode control law for speed loop is developed through building the NFTSM surface with fast convergence in a finite time and using the second-order model of rotary speed and q-axis stator reference current so that the errors caused by the first-order model of rotary speed and q-axis stator reference current are decreased and the singular problem of the terminal sliding mode surface is avoided. Furthermore

the varying boundary layer is designed to make the system states switch to a small boundary layer when the error decreases to a threshold so that the coordinated control between chattering and tracking accuracy is realized. Numerical simulation results and a comparison with the traditional PI control show that the proposed NFTSM control scheme achieves smaller overshoot and faster response

and the steady-state error is near to zero. Moreover

the NFTSM has strong robustness in parameter variations and disturbances of external loads

and ensures a higher steady-state precision of the speed with a lower chattering.

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references

WANG M S, SYAMSIANA I N, LIN F C. Sensorless speed control of permanent magnet synchronous motors by neural network algorithm [J]. Mathematical Problems in Engineering, 2014, 50(4): 1-7.

LI Zhijun, YANG Chenguang, DING Nan, et al. Robust adaptive motion control for underwater remotely operated vehicles with velocity constraints [J]. International Journal of Control, Automation and Systems, 2012, 10(2): 421-429.

LI Zhijun, YANG Chenguang, TANG Yong. Decentralised adaptive fuzzy control of coordinated multiple mobile manipulators interacting with non-rigid environments [J]. IET Control Theory Applications, 2013, 7(3): 397-410.

LEE T S, LIN C H, LIN F J. An adaptive H∞ controller design for permanent magnet synchronous motor drives [J]. Control Engineering Practice, 2005, 13(4): 425-439.

CHOI H H, JUNG J W. Fuzzy speed control with an acceleration observer for a permanent magnet synchronous motor [J]. Nonlinear Dynamics, 2012, 67(3): 1717-1727.

YANG Chenguang, ZHAI Lianfei, GE Shuzhi. Adaptive model reference control of a class of MIMO discrete-time systems with compensation of nonparametric uncertainty[C]∥ Proceedings of the American Control Conference. Piscataway, NJ, USA: IEEE, 2008: 4111-4116

LIU Ling, LIANG Deliang, LIU Chongxin, et al. Nonlinear state observer design for projective synchronization of fractional-order permanent magnet synchronous motor [J]. International Journal of Modern Physics: B, 2012, 26(30): 1250166.

刘金琨, 孙富春. 滑模变结构控制理论及其算法研究与进展 [J]. 控制理论与应用, 2007, 24(3): 407-418.

LIU Jinkun, SUN Fuchun. Research and development on theory and algorithms of sliding mode control [J]. Control Theory Applications, 2007, 24(3): 407-418.

LIU Ling, DING Wen, LIU Chongxin, et al. Hyperchaotic synchronization of fractional-order arbitrary dimensional dynamical systems via modified sliding mode control [J]. Nonlinear Dynamics, 2014, 76(4): 2059-2071.

李政, 胡广大, 崔家瑞, 等. 永磁同步电机调速系统的积分型滑模变结构控制 [J]. 中国电机工程学报, 2014, 34(3): 431-437.

LI Zheng, HU Guangda, CUI Jiarui, et al. Sliding-mode variable structure control with integral action for permanent magnet synchronous motor [J]. Proceedings of the CSEE, 2014, 34(3): 431-437.

倪骏康, 刘崇新, 庞霞. 电力系统混沌振荡的等效快速终端模糊滑模控制 [J]. 物理学报, 2013, 62(19): 19057.

NI Junkang, LIU Chongxin, PANG Xia. Fuzzy fast terminal sliding mode controller using an equivalent control for chaotic oscillation in power system [J]. Acta Physica Sinica, 2013, 62(19): 19057.

袁雷, 沈建清, 肖飞, 等. 插入式永磁低速同步电机非奇异终端滑模观测器设计 [J]. 物理学报, 2013, 62(3): 030501.

YUAN Lei, SHEN Jianqing, XIAO Fei, et al. Nonsingular terminal sliding-mode observer design for interior permanent magnet synchronous motor drive at very low-speed [J]. Acta Physica Sinica, 2013, 62(3): 030501.

HE Zhenxin, LIU Chuntong, ZHAN Ying, et al. Nonsingular fast terminal sliding mode control with extended state observer and tracking differentiator for uncertain nonlinear systems [J]. Mathematical Problems in Engineering, 2014, 27(2): 1-16.

赵鹏, 姚敏立, 沈晓卫, 等. 非奇异快速终端滑模液位跟踪控制 [J]. 西安交通大学学报, 2011, 45(12): 39-44.

ZHAO Peng, YAO Minli, SHEN Xiaowei, et al. Tracking control of water level based on a nonsingular terminal sliding mode [J]. Journal of Xi'an Jiaotong University, 2011, 45(12): 39-44.

张希, 陈宗祥, 潘俊民, 等. 永磁直线同步电机的固定边界层滑模控制 [J]. 中国电机工程学报, 2006, 26(22): 115-121.

ZHANG Xi, CHEN Zongxiang, PAN Junmin, et al. Fixed boundary layer sliding mode control of permanent magnet linear synchronous motor [J]. Proceedings of the CSEE, 2006, 26(22): 115-121.

林雷, 任华彬, 王洪瑞. 基于径向基函数神经网络的机器人滑模控制 [J]. 控制工程, 2007, 14(2): 224-226.

LIN Lei, REN Huabin, WANG Hongrui. RBFNN-based sliding mode control for robot [J]. Control Engineering of China, 2007, 14(2): 224-226.

LIU Xiaodong, WU Yunjie, LIU Baiting. The research of adaptive sliding mode controller for motor servo system using fuzzy upper bound on disturbances [J]. International Journal of Control, Automation, and Systems, 2012, 10(5): 1064-1069.

YANG Jun, LI Shihua, YU Xinghuo. Sliding-mode control for systems with mismatched uncertainties via a disturbance observer [J]. IEEE Transactions on Industrial Electronics, 2013, 60(1): 160-169.

LI Shihua, ZONG Kai, LIU Huixian. A composite speed controller based on a second-order model of permanent magnet synchronous motor system [J]. Transactions of the Institute of Measurement and Control, 2011, 33(5): 522-541.

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