摘要
针对电机安装速度传感器不便的问题提出了新的转速辩识方法,它从扩展卡尔曼滤波算法原理入手,利用定子侧可测量的电流、电压,推导出一种新的无转速传感器的异步电动机转速、磁链状态观测模型,估算出电机的转速和定子磁链。该算法可以有效地消除纯积分环节存在的问题,同时不会在辨识的磁链中引入幅值和相位误差,保证电机在稳态运行和转速突变情况下磁链辩识的准确性。通过建立Matlab的S函数仿真电机转速和磁链的结果表明,这种方法能有效地解决磁链和转矩的脉动问题,从而实现电机高性能的控制。
According to motor the inconvenience of installation speed sensor, this paper presents a new speed estimation method for the vector controlled induction motors without speed sensors. From the principle of extended Kalman filtering, the speed and the stator magnetic linkage can be estimated with the current and the voltage of the stator derivating a new speed and magnetic linkage state observer model with no speed sensor. This arithmetic can effectively eliminate the direct current bias and original phase problem without importing range and phase error in the flux, so the motor flux including its amplitude and phase can be estimated accurately on stable state and speed step state. Through establishes Matlab the S function, carries on the simulation fort the electrical machinery rotational speed and the linkage. The simulating result proves that the method can effectively solve the problem of magnetic linkages and torque pulsation, and achieve the goal of high performance motor control.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2007年第5期127-130,共4页
High Voltage Engineering
