Title :
An adaptive sliding-mode observer for induction motor sensorless speed control
Author :
Li, Jingchuan ; Xu, Longya ; Zhang, Zheng
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
An adaptive sliding-mode flux observer is proposed for sensorless speed control of induction motors in this paper. Two sliding-mode current observers are used in the method to make flux and speed estimation robust to parameter variations. The adaptive speed estimation is derived from the stability theory based on the current and flux observers. The system is first simulated by MATLAB and tested by hardware-in-the-loop. Then, it is implemented based on a TMS320F2812, a 32-bit fixed-point digital signal processor. Simulation and experimental results are presented to verify the principles and demonstrate the practicality of the approach.
Keywords :
adaptive control; digital signal processing chips; electric machine analysis computing; induction motors; machine control; observers; robust control; variable structure systems; velocity control; MATLAB; adaptive sliding-mode flux observer; fixed-point digital signal processor; flux estimation; induction motor; sensorless speed control; sliding-mode current observers; speed estimation; stability theory; Adaptive control; Digital signal processors; Induction motors; MATLAB; Parameter estimation; Programmable control; Robustness; Stability; System testing; Velocity control; Adaptive sliding-mode observer; induction motor; sensorless speed control;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2005.851585