ANFIS优化磁链滑模观测器的PMSM无传感器控制

doi:10.16182/j.issn1004731x.joss.21-0270

系统仿真学报 ›› 2022, Vol. 34 ›› Issue (8): 1682-1690.doi: 10.16182/j.issn1004731x.joss.21-0270

ANFIS优化磁链滑模观测器的PMSM无传感器控制

张会林¹(), 金玉洁¹(), 杨海马²

^1.上海理工大学机械工程学院，上海 200093
^2.上海理工大学光电信息与计算机工程学院，上海 200093

收稿日期:2021-03-31 修回日期:2021-06-15 出版日期:2022-08-30 发布日期:2022-08-15
通讯作者: 金玉洁 E-mail:zhanghuilin@usst.edu.cn;1941186661@qq.com
作者简介:张会林(1971-)，男，博士，副教授，研究方向为电力电子与电气控制，电机控制，嵌入式系统，模式识别，智能电网与人工智能。E-mail：zhanghuilin@usst.edu.cn
基金资助:
国家自然科学基金(61701296);上海市自然科学基金(17ZR1443500)

Sensorless Control of PMSM Based on an ANFIS Optimized Flux Sliding Mode Observer

Huilin Zhang¹(), Yujie Jin¹(), Haima Yang²

^1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
^2.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2021-03-31 Revised:2021-06-15 Online:2022-08-30 Published:2022-08-15
Contact: Yujie Jin E-mail:zhanghuilin@usst.edu.cn;1941186661@qq.com

摘要/Abstract

摘要：

针对永磁同步电机(permanent magnet synchronous motor，PMSM)无传感器控制中转子速度和位置的估计精度不高、系统抖振等问题，提出一种基于自适应模糊神经网络(adaptive neuro-fuzzy inference system，ANFIS)优化的磁链滑模观测器(flux sliding mode observer，FSMO)。采用经过ANFIS优化的FSMO，实现对观测器增益的在线调节，减少系统抖振；采用改进的锁相环(phase locked loop，PLL)，提高对转子速度及位置的估计精度。实验结果表明：ANFIS优化的FSMO能够有效地提高PMSM无传感器控制中转子速度和位置的估计精度，减少系统抖振。

关键词: 磁链滑模, 自适应模糊神经网络, 锁相环, 无传感器控制, 永磁同步电机

Abstract:

Aiming at the low estimation accuracy of rotor speed and position and the system chattering in sensorless control of permanent magnet synchronous motor (PMSM), an adaptive neuro-fuzzy inference system (ANFIS) is proposed to optimize the flux sliding mode observer(FSMO). Compared with the traditional sliding mode observer, the FSMO improves the estimation accuracy of the rotor flux. The FSMO optimized by ANFIS realizes the on-line adjustment of the observer gain and reduces the system chattering. The improved PLL improves the estimation accuracy of the rotor speed and position. A simulation platform is established to verify the results which show that the ANFIS optimized FSMO can effectively improve the accuracy of the rotor speed and position estimation in PMSM sensorless control and reduce the system chattering.

Key words: flux sliding mode, adaptive neuro fuzzy inference system, phase locked loop, sensorless control, permanent magnet synchronous motor

中图分类号:

TP391.9

张会林, 金玉洁, 杨海马. ANFIS优化磁链滑模观测器的PMSM无传感器控制[J]. 系统仿真学报, 2022, 34(8): 1682-1690.

Huilin Zhang, Yujie Jin, Haima Yang. Sensorless Control of PMSM Based on an ANFIS Optimized Flux Sliding Mode Observer[J]. Journal of System Simulation, 2022, 34(8): 1682-1690.

图/表 11

图1

图2

图3

图4

图5

表1

PMSM参数

参考变量	数值
阻尼系数B/(N·m·s)	0
极对数 $n p$	4
定子电感 $L s / m H$	8.5
定子电阻 $R s / Ω$	2.875
磁链 $λ f / W b$	0.175
转动惯量J/(kg·m²)	0.001

表1

图6

图7

图8

图9

图10

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ANFIS优化磁链滑模观测器的PMSM无传感器控制

Sensorless Control of PMSM Based on an ANFIS Optimized Flux Sliding Mode Observer

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