摘要
针对永磁同步电机在无差拍电流控制策略下控制器电机模型电感和磁链误差会引起电流静差的问题,提出一种基于优化扩展卡尔曼滤波的永磁同步电机参数估算方法。首先建立非线性永磁同步电机系统状态模型,该模型分别以无差拍电流预测控制器模型输出的电压、永磁同步电机反馈电流以及电机电角速度作为优化扩展卡尔曼滤波算法的输入量;然后通过优化卡尔曼滤波估算出实际电机电感和磁链,保证控制器电机模型电感、磁链同步跟随估算值。仿真结果表明,优化扩展卡尔曼滤波算法能快速、准确估算电机参数,有效地消除因参数误差导致的电流静差。
Aiming at the problem that the inductance and flux error of the motor model for the permanent magnet synchronous motor can lead current error under the deadbeat current control strategy,a parameter estimation method based on the optimized EKF algorithm for permanent magnet synchronous motor was proposed.Firstly,the system state model was established based on the nonlinear permanent magnet synchronous motor,the output voltage of the deadbeat current predictve controller model,feedback current of the permanent magnet synchronous motor and the motor electrical angular velocity were used as the input of the optimized EKF algorithm.Then,the real motor inductance and flux were estimated by the optimized EKF algorithm to ensure the parameters of the controller following estimation of the real machine.Simulation results show that the optimized EKF algorithm can quickly and accurately estimate the motor parameters,and effectively eliminate the current error caused by parameter error.
作者
唐文秀
吴俊英
许李尚
刘俊辰
TANG Wenxiu;WU Junying;XU Lishang;LIU Junchen(College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040,Heilongjiang,China)
出处
《电气传动》
北大核心
2019年第12期88-93,共6页
Electric Drive
基金
国家自然科学基金项目（16051575097）
省级自然科学基金项目（16041314602）
关键词
永磁同步电机
无差拍电流控制
扩展卡尔曼滤波
电流静差
permanent magnet synchronous motor(PMSM)
deadbeat current control
extended kalman filter(EKF)
current error
