Title :
Speed-independent FCS-model predictive torque control for IM based on SMO
Author :
Fengxiang Wang ; Stolze, P. ; Kennel, Ralph ; Davari, S. Alireza ; Khaburi, Davood Arab
Author_Institution :
Inst. of Electr. Drives & Power Electron., Tech. Univ. of Munich, Munich, Germany
Abstract :
In this paper, a speed-independent finite control set model predictive torque control for induction machine based on sliding mode observer is proposed. With this new method, the finite control set model predictive controller is designed as speed-independent. For the estimation of the flux, the sliding mode observer is applied. The sliding mode observer is designed as the speed-independent. In this way, predictive torque controller and observer are not dependent on the speed any more. The influence brought by speed error is eliminated. The work is developed with a 2-level voltage source inverter. The cost function is built to select the best switching vector for voltage source inverter. At every sampling period, all 7 different inverter switching vectors are taken into calculation. The best switching vectors could be confirmed by minimizing the cost function. The process and results are presented in the paper to verify the proposed strategy.
Keywords :
angular velocity control; asynchronous machines; invertors; machine vector control; observers; predictive control; torque control; variable structure systems; 2-level voltage source inverter; IM; SMO; cost function minimization; finite control set model; flux estimation; induction machine; inverter switching vector; sliding mode observer; speed error elimination; speed-independent FCS-model predictive torque control; Induction machines; Mathematical model; Observers; Rotors; Stators; Torque; Torque control; SMO; induction machine; predictive torque control;
Conference_Titel :
Power Electronics and Motion Control Conference (EPE/PEMC), 2012 15th International
Conference_Location :
Novi Sad
Print_ISBN :
978-1-4673-1970-6
Electronic_ISBN :
978-1-4673-1971-3
DOI :
10.1109/EPEPEMC.2012.6397505