摘要
永磁同步电机由于其优越的性能而广泛的应用于精确的伺服控制控制系统中,针对电机的参数会随着工作环境的变化而变化,导致控制的精度受到很大影响。提出采用实时地对电机参数进行辨识,成为提高整个系统性能的保证。在深入分析永磁同步电机的电磁特性后,推导出永磁同步电机在两相静止坐标下的电机数学模型;并在该数学模型下利用递推最小二乘法编写辨识算法,对电机的参数进行在线辨识。利用matlab软件平台构建永磁同步电机双闭环仿真模型进行仿真,仿真结果表明算法能精确地辨识电机的参数,具有较好的鲁棒性。从而证明上述方法的正确性,能够提高控制系统的精度。
The permanent magnet synchronous motor（PMSM） has been widely used in many accurate servo control systems for its excellent qualities.However the motor parameters vary with the changing work environments,resulting in the precision of control system to be affected.Real-time identification of motor parameters is a guarantee for improving overall system performances.Based on deep analysis of the electromagnetic characteristics of permanent magnet synchronous motor,the mathematical model of permanent magnet synchronous motor is derived in the stationary two-phase of the motor coordinates.And recursive least square is choosed for online identification of motor parameters under this mathematical equation.Matlab /simulink is used to create the simulation system of double closed loop control system.Simulation results show that the method can quickly and accurately identify the motor parameters and has good robustness.The algorithm is proved correct,and can improve the accuracy of control system.
出处
《计算机仿真》
CSCD
北大核心
2011年第8期401-404,共4页
Computer Simulation
关键词
永磁同步电机
递推最小二乘法
参数辨识
Permanent magnet synchronous motor
Recursive least squares
Parameter identification
