摘要
针对永磁同步电机参数辨识过程中收敛速度慢的问题,提出基于正交投影与多新息递推最小二乘相结合的算法来估计永磁同步电机参数。选择永磁同步电机四阶非线性状态空间模型的数学方程,将此模型改写为线性回归模型的形式,省略线性化过程。在仿真过程中加入噪声到电机的运行系统中,来模拟真实的电机运行环境,然后将正交投影与多新息递推最小二乘的结合算法分阶段配合应用于永磁同步电机的线性回归模型中进行参数辨识。辨识结果显示出了该结合算法的有效性。
Aiming at the problem of slow convergence during the parameters identification of Permanent Magnet Synchronous Motor（PMSM）, a combined algorithm based on orthogonal projection algorithm and multi-innovation recursive least square algorithm is proposed to estimate the parameters of PMSM. The mathematical equation of the four-order nonlinear state space model of PMSM is selected, and the model is rewritten as a linear regression model. The noise of motor operating system is added into the simulation process to simulate a real motor operating environment, and then the combined algorithm is applied in the identification of PMSM in the form of linear regression. The results show that the combined algorithm is effective.
作者
张秀丽
黄旭
杨德亮
吴定会
ZHANG Xiuli;HUANG Xu;YANG Deliang;WU Dinghui(Wuxi Institute of Technology,Wuxi 214122,China;Key Laboratory of Advanced Process Control for Light Industry,Jiangnan University,Wuxi 214122,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2018年第14期33-39,共7页
Power System Protection and Control
基金
国家自然科学基金项目资助(61572237)~~
关键词
永磁同步电机
参数辨识
正交投影算法
多新息理论
递推最小二乘算法
PMSM
parameter identification
orthogonal projection algorithm （OPA）
multi-innovation theory
recursive least squares （RLS） algorithm
