电子测量与仪器学报

李鹏飞,高文根,张港,秦海峰.基于改进 SMO 的无传感器 IPMSM 转子位置估计[J].电子测量与仪器学报,2021,35(9):65-72

基于改进 SMO 的无传感器 IPMSM 转子位置估计

Rotor position estimation of sensorless ipmsm based on improved SMO

DOI：

英文关键词:permanent magnet synchronous motor sliding mode observer new piecewise exponential function simulation analysis

基金项目:安徽省重点研究与开发计划项目（201904a05020007）、安徽省支持新能源汽车产业创新发展和推广应用项目、国家级大学生创新创业训练计划项目（201810363165）资助

作者	单位
李鹏飞	1.安徽工程大学检测技术与节能装置安徽省重点实验室
高文根	1.安徽工程大学检测技术与节能装置安徽省重点实验室
张港	1.安徽工程大学检测技术与节能装置安徽省重点实验室
秦海峰	1.安徽工程大学检测技术与节能装置安徽省重点实验室

Author	Institution
Li Pengfei	1.Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province,Anhui Polytechnic University
Gao Wengen	1.Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province,Anhui Polytechnic University
Zhang Gang	1.Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province,Anhui Polytechnic University
Qin Haifeng	1.Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province,Anhui Polytechnic University

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中文摘要:

为了优化传统滑模观测器( sliding mode observer, SMO)的高频抖振、响应时间长、估算误差大等问题,提出一种改进 SMO。将传统 SMO 中的符号函数替换为新型分段指数函数来减少系统的高频抖振,舍弃误差较大的反正切算法,使用锁相环估算出 IPMSM 的转速和转子位置信息。使用 Lyapunov 稳定判据证明了改进 SMO 的稳定性,并通过 MATLAB/ Simulink 搭建了基于内置式永磁同步电机的改进 SMO 无传感器控制策略模型,并进行仿真分析。仿真结果表明相比于传统 SMO,改进 SMO 的转子位置估计误差从 0. 05 优化到 0. 025 rad,系统转速估计响应时间减少 50%,转速估计误差减少 85%。证明了改进 SMO 有更高的动态性能和估计精度。

英文摘要:

In order to optimize the problems of high-frequency chattering, long response time, and large estimation errors of traditional sliding mode observers (SMO), this paper proposes an improved SMO. The sign function in the traditional SMO is replaced with a new piecewise exponential function to reduce the high-frequency chattering of the system, the arctangent algorithm with large errors is discarded, and the phase-locked loop is used to estimate the IPMSM speed and rotor position information. The Lyapunov stability criterion was used to prove the stability of the improved SMO, and the improved SMO sensorless control strategy model based on the interior permanent magnet synchronous motor was built through Matlab / Simulink, and simulation analysis was performed. The simulation results show that compared with the traditional SMO, the rotor position estimation error of the improved SMO is optimized from 0. 05 to 0. 025 rad, the system speed estimation response time is reduced by 50%, and the speed estimation error is reduced by 85%. It is proved that the improved SMO has higher dynamic performance and estimation accuracy.

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