【摘要】 针对三相感应电机在转速和转矩测试过程中,存在采集数据易受外界干扰而导致转速和转矩等估计值出现较大偏差的问题,提出采用中心差心扩展卡尔曼滤波算法实现对三相感应电机转速和转矩的估计.首先,以三相感应电机的定子和转子电流作为状态变量,推导出了三相感应电机在α-β坐标系下的状态方程和输出方程.然后,采用中心差分扩展卡尔曼滤波算法实现对三相感应电机转速和转矩的解算.仿真结果表明,与扩展卡尔曼滤波算法相比,中心差分扩展卡尔曼滤波算法对电机运行状态的变化具有更好的跟随性能及更快的收敛速度,能够准确的估计三相感应电机的转速和转矩.更多还原

【Abstract】 In the process of there-phase induction motor speed and torque estimation,the data collection is vulnerable to the outside interference easily,which leads to large deviations.Speed and torque estimation method of there-phase induction motor based on central difference extended Kalman filter was proposed.At first,deduced there-phase induction motor state equations and output equations in theα-βcoordinate system with three-phase induction motor stator and rotor currents as state variables.Then using central difference extended kalman filter algorithm for three-phase induction motor speed and torque estimation.The simulation results show that,compares with extended kalman filter,central difference extended kalman filter algorithm has better follow-up performance when motor running state changes,and has faster rate of convergence.Thus speed and torque of there-phase induction motor can be estimated precisely.更多还原