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

Volume

10

Issue

2

fYear

2014

fDate

May-14

Firstpage

1097

Lastpage

1106

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;

fLanguage

English

Journal_Title

Industrial Informatics, IEEE Transactions on

Publisher

ieee

ISSN

1551-3203

Type

jour

DOI

10.1109/TII.2013.2287395

Filename

6650120