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基于EKF的感应电机无速度传感器控制系统
Speed Sensorless Control of Induction Motors Using the Extended Kalman Filter
【Author】 Chen Cui,Sun Qu,Wang Xuguang School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,P.R.China
【机构】 四川大学电气信息学院;
【摘要】 本文采用扩展卡尔曼滤波器(EKF)估计异步电机转子角速度,并对滤波器初始值的选取进行了研究,得到了优化的卡尔曼滤波器。在MATLAB软件中搭建SVPWM转差型调速系统,系统直接应用电压矢量控制方程得到转子位置,无需对转子磁链和转子位置进行估算,避免了复杂的迭代运算。结果表明,转速估算的准确性较高,系统对电机参数的变化不敏感,具有较强的鲁棒性,并对负载扰动具有较强的抑制能力。
【Abstract】 A rotor speed estimation method of an asynchronous motor,based on extended Kalman filter(EKF) ,is studied and is adopted in SVPWM slip frequency vector control system in this paper.The optimized Filter is got by choosing the proper initial value.The rotor position can be got by voltage vector controlled equations,without estimating the rotor flux and rotor position by EKF.The complicated iterative operations can be avoided.The simulation results show good performance of the speed estimation and the system is insensitive to the machine parameter variations and load disturbances.The rationality and advantage of proposed methods is testified though MATLAB simulation.
【Key words】 Extended Kalman Filter; Speed Estimation; Indirect Vector Control; Speed Sensorless;
- 【会议录名称】 第二十七届中国控制会议论文集
- 【会议名称】第二十七届中国控制会议
- 【会议时间】2008-07-16
- 【会议地点】中国云南昆明
- 【分类号】TM346;TP212
- 【主办单位】中国自动化学会控制理论专业委员会(Technical Committee on Control Theory,Chinese Association of Automation)