Finite Control Set Model Predictive Torque Control of Induction Machine With a Robust Adaptive Observer

Finite Control Set Model Predictive Torque Control of Induction Machine With a Robust Adaptive Observer

This paper proposes a finite control set model predictive torque control (PTC) of induction machine with an adaptive observer. Model reference adaptive system (MRAS) can accurately estimate the rotor speed. However, the encoderless PTC method requires not only the estimated rotor speed but also the...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) Vol. 64; no. 4; pp. 2631 - 2641
Main Authors: Wang, Fengxiang, Davari, S. Alireza, Chen, Zhe, Zhang, Zhenbin, Khaburi, Davood Arab, Rodrieguez, Jose, Kennel, Ralph
Format: Journal Article
Language:English
Published: New York IEEE 01-04-2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptation models
Fluxes
H-infinity control
Induction machine
Induction motors
Mathematical models
model predictive control (MPC)
Model reference adaptive control
observer
Observers
Predictive control
Rotor speed
Rotors
Sliding mode control
Stators
Switches
Torque
Torque control
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a finite control set model predictive torque control (PTC) of induction machine with an adaptive observer. Model reference adaptive system (MRAS) can accurately estimate the rotor speed. However, the encoderless PTC method requires not only the estimated rotor speed but also the estimated fluxes. A sliding mode stator voltage model observer is applied as the reference model in the MRAS. Although sliding mode method has chattering problem, it can be largely reduced by optimizing the sliding function and by proper sliding gains designed with H infinity method. The proposed encoderless PTC is experimentally verified in this work. The results show that the method is stable in a wide speed range and has good performance over load disturbance. Moreover, the proposed encoderless strategy has the merits of predictive control: fast dynamics, straightforward structure, and easy implementation for constraints' inclusion.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2016.2529558