DocumentCode :
1685969
Title :
Different viable torque control schemes of induction motor for electric propulsion systems
Author :
Vasudevan, M ; Arumugam, R.
Author_Institution :
St. Joseph´´s Coll. of Eng., Chennai, India
Volume :
4
fYear :
2004
Firstpage :
2728
Abstract :
This work presents a detailed comparison between various control strategies, emphasizing advantages and disadvantages. The scope of This work is to choose an adaptive induction motor drive for an electric propulsion system. Recent advances in induction motor control have made it suitable for fast dynamic response applications. In this paper, the performance of the various control schemes such as indirect field oriented control (IFOC), direct field oriented control (DFOC), direct torque control (DTC) and neuro-fuzzy DTC (DTNFC) are evaluated. The analysis has been carried out on the basis of the results obtained by numerical simulations. A new estimator is also designed to estimate the stator resistance of induction motor. The sensitivity of DTC to temperature variations, leading to stator resistance changes, is eliminated by online estimation of stator resistance. In this paper, detailed analysis and investigation are carried out and an adaptive control is proposed for electric propulsion system.
Keywords :
adaptive control; dynamic response; electric machine analysis computing; electric propulsion; fuzzy control; induction motor drives; machine vector control; mathematics computing; neurocontrollers; numerical analysis; sensitivity; stators; torque control; ANFIS; Matlab-Simulink; adaptive control; direct field oriented control; direct torque control; dynamic response; electric propulsion systems; indirect field oriented control; induction motor drive; neuro-fuzzy control; numerical simulation; sensitivity; stator resistance; temperature variations; Adaptive control; Control systems; Electric resistance; Inductance; Induction motors; Propulsion; Rotors; Sensorless control; Stators; Torque control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
ISSN :
0197-2618
Print_ISBN :
0-7803-8486-5
Type :
conf
DOI :
10.1109/IAS.2004.1348861
Filename :
1348861
Link To Document :
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