摘要
研究异步电机稳定性优化控制问题,异步电机转子电阻受温度变化、集肤效应等影响,具有时变性和非线性,影响系统稳定性分析。传统方法对异步电机转子电阻状态辩识准确率低。为了准确和快速对转子电阻进行状态辩识,提出一种扩展卡尔曼滤波的异步电机转子电阻辩识方法。将转子电阻看成系统状态变量,设计一种扩展卡尔曼滤波技术的转子电阻估计器,通过测量电机定子电压、电流,实现对转子电阻在线辩识。在MATLAB/Simulink中建立仿真模型,仿真结果表明,异步电机转子电阻改进辩识方法可提高转子电阻辨识准确率。
Asynchronous motor rotor resistance changes affect the control precision of the system, because temperature and skin effect, rotor resistance changes has nonlinear. In order to identificate the rotor resistance accurately and rapidly, an asynchronous motor rotor resistance identificate method was proposed based on extended kalman filter in this paper. Taking Rotor resistance as a system state variable, a rotor resistance identification was designed base on extended Kalman filtering technology. Through the measuring the voltage and curren of the motor stator, the rotor resistance identification value was obtained. The simulation model was built with MATLAB/Simulink system, and the simulation results show that the proposed mehod can rapidly and accurately identify rotor resistance and improve the precision of rotor resistance.
出处
《计算机仿真》
CSCD
北大核心
2012年第2期412-415,共4页
Computer Simulation
关键词
异步电机
扩展卡尔曼滤波器
转子电阻
参数辨识
Asynchronous motor
Extended kalman filter
Rotor resistance
Parameter identification