| 基于AEKF的永磁同步电机转速估计算法研究 |
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| 引用本文： | 何智成,张振宇,周兵.基于AEKF的永磁同步电机转速估计算法研究[J].航空动力学报,2019,46(12):61-69. |
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| 作者姓名： | 何智成 张振宇 周兵 |
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| 作者单位： | 湖南大学 汽车车身先进设计制造国家重点实验室,湖南 长沙410082,湖南大学 汽车车身先进设计制造国家重点实验室,湖南 长沙410082,湖南大学 汽车车身先进设计制造国家重点实验室,湖南 长沙410082 |
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| 基金项目： | 国家自然科学基金创新研究群体基金项目(51621004)；国家自然科学基金联合基金项目(U1864207)；国家重点研发计划课题项目(2016YFB0100903-2);广西科技大学汽车零部件与车辆技术重点实验室开放项目(2017GKLACVTKF01) |
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| 摘 要： | 针对在转速估算研究中采用常数矩阵不能准确描述永磁同步电机(PMSM)在不同运行条件下系统噪声的问题,提出了一种基于新息序列和状态残差的自适应扩展卡尔曼滤波算法(AEKF)。同时,对AEKF的稳定性进行理论上的探究。经仿真验证,与传统扩展卡尔曼滤波算法相比,AEKF在收敛速度和收敛精度上更优,参数鲁棒性更好。
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| 关 键 词： | 永磁同步电机 转速估计 新息序列 状态残差 自适应扩展卡尔曼滤波 |
| 收稿时间： | 2019/9/26 0:00:00 |
Speed Estimation of Permanent Magnet Synchronous MotorBased on Adaptive Extended Kalman Filter |
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| HE Zhicheng,ZHANG Zhenyu and ZHOU Bing.Speed Estimation of Permanent Magnet Synchronous MotorBased on Adaptive Extended Kalman Filter[J].Journal of Aerospace Power,2019,46(12):61-69. |
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| Authors: | HE Zhicheng ZHANG Zhenyu and ZHOU Bing |
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| Institution: | State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University, Changsha 410082, China,State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University, Changsha 410082, China and State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University, Changsha 410082, China |
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| Abstract: | In order to accurately describe the system noise of permanent magnet synchronous motor (PMSM) under different operating conditions, the variable matrix was used to estimate the system noise based on the innovation sequence and state residual. An adaptive extended Kalman filter (AEKF) algorithm based on the variable matrix was adopted to estimate the speed. At the same time, the research on the stability of AEKF was conducted. The simulation proves that compared with the traditional extended Kalman filter algorithm, the AEKF is better in convergence speed and convergence precision and has better robustness. |
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| Keywords: | permanent magnet synchronous motor (PMSM) speed estimation innovation sequence state residual adaptive extended Kalman filter (AEKF) |
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