直流电动机时变参数在线辨识方法

基金项目:

国家自然科学基金资助项目（61305106）

中国博士后科学基金资助项目（2013M541505）

详细信息

On-line identification method of time-variable parameter of DC motor

1.
School of Electrical Information Engineering, Henan Institute of Engineering, Zhengzhou 451191, China
2.
School of Computer, Henan Institute of Engineering, Zhengzhou 451191

摘要: 针对直流电动机的电枢阻抗以及转子转动动量等参数会随着其运行环境及工况的变化而发生变化，从而导致系统控制失效的问题，给出了一种基于递推最小二乘算法的直流电动机时变参数在线辨识方法，并设计了以TMS320F2812为核心的直流电动机控制系统。试验结果表明，使用递推最小二乘算法能够较好地实现直流电动机系统的时变参数辨识。
- 直流电动机 /
- 参数辨识 /
- 递推最小二乘算法 /
- 系统辨识
Abstract: In view of problem that parameters of DC motor such as armature impedance and rotor rotating momentum may change with operating environment and working conditions of the motor, resulting in control failure of the system, an on-line identification method of time-variable parameter of DC motor based on recursive least squares algorithm was given, and control system of DC motor with TMS320F2812 as the core was designed. The experiment results show that the system with the recursive least squares algorithm can achieve effective identification of time-variable parameter of DC motor system.
- DC motor /
- parameter identification /
- recursive least squares algorithm /
- system identificatio

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