DocumentCode :
3195215
Title :
Optimal direct torque control of three-phase symmetric induction motors
Author :
Papafotiou, Georgios ; Geyer, Tobias ; Morari, Manfred
Author_Institution :
Autom. Control Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
Volume :
2
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
1860
Abstract :
Direct torque control (DTC) is a state of the art control methodology for induction motor drives which features very favorable control performance and implementation properties. However, one of its main deficiencies is the lack of a systematic design procedure for the inverter switching table, which is the core of the control system. This is addressed in this paper, where we propose a novel modelling and control approach for the DTC problem which is based on a systematic design procedure. The DTC drive comprising of a three-level dc-link inverter driving a three-phase induction motor is modelled in the hybrid mixed logical dynamical (MLD) framework, and a constrained optimal control problem is set up and solved over a receding finite horizon using model predictive control (MPC). Simulation results are provided and compared to the current industrial state of the art, which demonstrate the potential for performance improvements.
Keywords :
induction motor drives; invertors; machine control; optimal control; predictive control; torque control; constrained optimal control problem; control system; hybrid mixed logical dynamical; induction motor drives; model predictive control; optimal direct torque control; receding finite horizon; three-level dc-link inverter; three-phase symmetric induction motors; Automatic control; Induction motor drives; Induction motors; Inverters; Mathematical model; Optimal control; Predictive models; Stators; Switches; Torque control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-8682-5
Type :
conf
DOI :
10.1109/CDC.2004.1430318
Filename :
1430318
Link To Document :
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