Title :
Encoderless Finite-State Predictive Torque Control for Induction Machine With a Compensated MRAS
Author :
Fengxiang Wang ; Zhe Chen ; Stolze, P. ; Stumper, Jean-Francois ; Rodriguez, Jose ; Kennel, Ralph
Author_Institution :
Inst. for Electr. Drive Syst. & Power Electron., Tech. Univ. of Munich, Munich, Germany
Abstract :
An encoderless predictive torque control (PTC) is proposed in this paper. By using a rotor flux model reference adaptive system (MRAS) estimation method to PTC, the system has the virtue of low cost due to the absence of PWM and speed measurement components. PTC requires not only estimated speed but also estimated stator and rotor flux. In implementation, a compensated MRAS is considered for obtaining good flux estimations. The experimental results confirm that this control strategy has very fast dynamics, can adapt a very wide speed range, and shows good performance both at transient and steady states.
Keywords :
asynchronous machines; compensation; machine control; model reference adaptive control systems; predictive control; rotors; stators; torque control; transient analysis; velocity control; MRAS estimation method; PTC; compensated MRAS; encoderless finite-state predictive torque control; flux estimations; induction machine; model reference adaptive system; rotor flux; speed estimation; speed range; stator; steady states; transient states; Adaptation models; Estimation; Rotors; Stators; Switches; Torque; Vectors; Induction machine; model reference adaptive system (MRAS); predictive torque control (PTC); sensorless application;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2013.2287395