基于改进二阶滑模控制器的PMSM控制策略研究

微特电机 ›› 2020, Vol. 48 ›› Issue (9): 50-53.

基于改进二阶滑模控制器的PMSM控制策略研究

熊化亮, 沈艳霞

江南大学物联网技术教育部工程研究中心,无锡 214122

收稿日期:2019-08-27 出版日期:2020-09-28 发布日期:2020-09-21
作者简介:熊化亮(1994—),男,硕士研究生,研究方向为永磁同步电机、工业物联网通信。

Study on PMSM Control Strategy Based on Improved Second Order Sliding Mode Controller

XIONG Hua-liang, SHEN Yan-xia

Engineering Research Center of the Ministry of Education for Internet of Things Technology, Jiangnan University, Wuxi 214122, China

Received:2019-08-27 Online:2020-09-28 Published:2020-09-21

摘要/Abstract

摘要： 永磁同步电机矢量控制系统中,PI控制器对永磁同步电动机参数变化敏感,严重影响控制性能。对传统滑模观测器(SMO)进行改进,使得增益随电机参数自适应变化,将SGN函数改成连续函数SIGN函数,设计Super_twisting控制器,在实现转速估计的同时,进一步减小系统的误差。仿真表明,自适应增益观测器能够准确地观测转速和位置,与PI控制相比,基于Super-twisting滑模控制器的电机转矩和转速脉动减小,响应速度更快。

关键词: 永磁同步电机, 矢量控制, 滑模观测器, super-twisting滑模控制器, 自适应增益

Abstract: In PMSM vector control system, PI controller is sensitive to the change of PMSM parameters, which seriously affects the control performance. The traditional sliding mode observer (SMO) was improved, it's gain varies with the motor parameters, which realizes the speed estimation. The sgn function was changed to a continuous function the sign function. Super-twisting controller was designed to further reduce the error of the system. Simulation results showed that the adaptive gain observer can accurately observe the speed and position of the motor. Compared with the PI controller system, the motor torque and speed pulsation decreased and the response speed was faster with the super-twisting sliding mode controller.

Key words: permanent magnet synchronous motor (PMSM), vector control, sliding mode observer (SMO), super-twisting sliding mode controller (ST-SMC), adaptive gain (AG)

中图分类号:

TM351

熊化亮, 沈艳霞. 基于改进二阶滑模控制器的PMSM控制策略研究[J]. 微特电机, 2020, 48(9): 50-53.

XIONG Hua-liang, SHEN Yan-xia. Study on PMSM Control Strategy Based on Improved Second Order Sliding Mode Controller[J]. Small & Special Electrical Machines, 2020, 48(9): 50-53.

参考文献

[1] YANG X,CHI C C,GEN J Z, et al. Sensorless direct torque control of permanent magnet synchronous motor using a super-twisting controller[J]. Journal of Shanghai Dianji University, 2017, 20(3): 140-146.
[2] MOGHADAM M A G, TAHAMI F. Sensorless control of PMSM with tolerance for delays and stator resistance uncertainties[J].IEEE Transactions on Power Electronics,2013,8(3):1391-1399.
[3] YANG C, MA T, CHE Z,et al.An adaptive-gain sliding mode observer for sensorless control of permanent magnet linear synchronous motors[J].IEEE Access,2018(6):3469-3478.
[4] ZHANG C F, WU G P, RONG F.Robust fault-tolerant predictive current control for permanent magnet synchronous motors considering demagnetization fault[J].IEEE Transactions on Industrial Electronics, 2018,65(7):5324-5334.
[5] CHOI H H, JUNG J W. Takagi-Sugeno fuzzy speed controller design for a permanent magnet synchronous motor[J]. Mechatronics, 2011, 21(8): 1317-1328.
[6] LIN F J, HUNG Y C, HWANG J C,et al.Fault-tolerant control ofa six-phase motor drive system using a Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function[J].IEEE Transactions on Power Electronics,2013,28(7):3557-3572.
[7] DO T D, CHOI H H, JUNG J W.SDRE-based near optimal control system design for PM synchronous motor[J].IEEE Transactions on Power Electronics,2012,59(11):4063-4074.
[8] CHOI Y S, CHOI H H, JUNG J W. Feedback linearization direct torque control with reduced torque and _ux ripples for IPMSM drives[J].IEEE Transactions on Power Electronics,2016, 31(5): 3728-3737.
[9] FOO G, RAHMAN M F.Direct torque and _ux control of an IPM synchronous motor drive using a backstepping approach[J].IET Electric Power Applications, 2009,3(5):413-421.
[10] PREINDL M, SCHALTZ E.Sensorless model predictive direct current control using novel second-order PLL observer for PMSM drive systems[J].IEEE Transactions on Industrial Electronics,2011,58(9): 4087-4095.
[11] LEVANT A. Principles of 2-sliding mode design[J]. Automatica,2007,43(4):576-586.
[12] 黄雷,赵光宙,年珩.基于扩展反电势估算的内插式永磁同步电动机无传感器控制[J].中国电机工程学报, 2007,27(9) :59-63.
[13] WAN D L,ZHAO C H,WANG F Y,et al.Speed and torque control based on super-twisting sliding mode permanent magnet synchronous motor[J]. Electric Machines & Control Application,2017,44(10):42-47.
[14] EZZAT M, GLUMINEAU A, PLESTAN F.Sensorless speed control of a permanent magnet synchronous motor: High order sliding mode controller and sliding mode observer[J].Proceedings IFAC,2010,43(14):1290-1295.

[1]	付兴贺, 陈锐. 电机中ABC到dq0坐标变换的梳理与辨析[J]. 微特电机, 2021, 49(4): 1-8.
[2]	胡智宏, 叶晨光, 申永鹏, 郑竹风, 李波, 杨小亮. 自适应滑模增益永磁同步电机无速度传感器控制[J]. 微特电机, 2021, 49(4): 40-45.
[3]	万斌斌, 魏海峰, 张懿, 李垣江, 刘维亭. 基于并行混沌优化算法的永磁同步电机多参数辨识[J]. 微特电机, 2021, 49(3): 1-5.
[4]	林浩, 张琪, 黄苏融. 转子分段移位斜极的永磁同步电机轴向电磁力分析[J]. 微特电机, 2021, 49(3): 6-10.
[5]	朱相军, 罗建武, 徐刚, 饶健, 许心一. 车载永磁同步电机系统偏磁问题及补偿[J]. 微特电机, 2021, 49(3): 33-35.
[6]	李耀华, 周逸凡, 赵承辉, 秦玉贵. 基于拓展电压矢量集合的永磁同步电机无差拍控制[J]. 微特电机, 2021, 49(3): 40-46.
[7]	徐雨梦, 于金飞, 崔英英, 于金鹏, 刘加朋. 考虑输入饱和的PMSM命令滤波离散控制[J]. 微特电机, 2021, 49(3): 50-55.
[8]	周文斌, 马春旺, 邱国平. 电机槽极配合与电机运行质量特性研究(Ⅲ)[J]. 微特电机, 2021, 49(3): 59-62.
[9]	黄其, 伍权, 席唯, 曹朝晖. 高速永磁电机控制器设计[J]. 微特电机, 2021, 49(2): 11-14.
[10]	陶涛, 林荣文. 基于小生境粒子群算法的永磁同步电机参数辨识[J]. 微特电机, 2021, 49(2): 29-33.
[11]	诸德宏, 汪瑶. 基于新型滑模趋近律的PMSM速度控制[J]. 微特电机, 2021, 49(2): 34-38.
[12]	张娜娜, 沈艳霞. 基于磁链观测的IPMSM MTPA控制系统研究[J]. 微特电机, 2021, 49(2): 43-47.
[13]	李洋洋, 戴磊, 张懿, 魏海峰, 李垣江. 基于分岔理论的永磁同步电机非确定参数混沌控制[J]. 微特电机, 2021, 49(2): 48-52.
[14]	马嘉杰, 孙培德. 基于四桥臂的三次谐波注入式永磁同步电机转矩密度优化[J]. 微特电机, 2021, 49(1): 1-4.
[15]	蔡军, 李鹏泽, 黄袁园. 基于PMSM的二阶滑模无位置传感器控制[J]. 微特电机, 2021, 49(1): 32-36.