Title :
Adaptive sliding mode observer for state estimation of an induction motor on DSP-based system
Author :
Benchaib, A. ; Tadjine, M. ; Rachid, A. ; Tayebi, A.
Author_Institution :
Lab. de Systemes Automatiques, Amiens Univ., France
Abstract :
This paper presents a self-tuning variable structure observer to estimate the fluxes and the speed of an induction motor. Firstly, assuming that the speed is a known smooth bounded function, a sliding mode observer is designed to estimate the rotor fluxes. Then, using Lyapunov´s technique and following the design approach of Kubota et al. (1993), an adaptation law is derived to estimate the unknown speed. Experimental results obtained on a digital signal processor (DSP) TMS320C31/40 MHz-based system are presented to highlight the effectiveness of the proposed technique
Keywords :
Lyapunov methods; adaptive control; control system analysis; induction motors; machine control; machine testing; machine theory; motion control; observers; rotors; self-adjusting systems; state estimation; variable structure systems; 40 MHz; Lyapunov´s technique; TMS320C31 DSP; adaptive sliding mode observer; digital signal processor; flux estimation; induction motor; motor motion control; self-tuning variable structure observer; speed estimation; state estimation; DC motors; Digital signal processors; Electric variables control; Induction motors; Mechanical variables control; Observers; Rotors; State estimation; Stators; Voltage control;
Conference_Titel :
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location :
Milwaukee, WI
Print_ISBN :
0-7803-3946-0
DOI :
10.1109/IEMDC.1997.604166
