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 speed sensorless vector control of induction motors. Two sliding mode current observers are used in the method to make flux and speed estimation robust to parameter variation. Adaptive speed estimation is derived from the stability theory. The stability of adaptive flux observer is guaranteed by Lyapunov stability theory. The system is first simulated by MATLAB and HIL (hardware-in-the-loop). Then it is implemented based on TMS320F2812, a 32-bit fixed-point DSP controller. Simulation and experimental results are presented to demonstrate the potentials and practicality of the approach.
Keywords :
Lyapunov methods; adaptive control; control engineering computing; digital signal processing chips; induction motors; machine vector control; observers; power engineering computing; variable structure systems; velocity control; 32-bit fixed-point DSP controller; Lyapunov stability theory; MATLAB; TMS320F2812; adaptive flux observer; adaptive sliding mode observer; adaptive speed estimation; hardware-in-the-loop; induction motor sensorless speed control; speed sensorless vector control; Adaptive control; Induction motors; Lyapunov method; MATLAB; Machine vector control; Parameter estimation; Programmable control; Robustness; Stability; Velocity control;
Conference_Titel :
Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
Print_ISBN :
0-7803-8486-5
DOI :
10.1109/IAS.2004.1348585
