DocumentCode :
3433545
Title :
The investigation of ANN space vector PWM and diagnostic controller for four switch three phase inverter fed induction motor drive
Author :
Lee, Hong Hee ; Dzung, Phan Quoc ; Hoa, Truong Phuoc ; Phuong, Le Minh
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan
fYear :
2009
fDate :
10-13 Feb. 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper is to present the investigation of neural-network-based controller of space vector modulation (ANN-SVPWM) for four switch three phase inverter (FSTPI) fed induction motor drive. This ANN-SVPWM controller completely covers the under modulation and over modulation modes with operation extended linearly and smoothly up to square wave (six-step). The ANN controller uses the individual training strategy with the fixed weight and supervised models. Furthermore, ANN diagnosis method for real-time fault detection of power switches is proposed in this paper. The complete ANN-SVPWM and diagnostic controller can be used in power applications such as motor drives. A computer simulation program is developed using Matlab/Simulink together with the neural network toolbox for training the ANN-controller.This method has been validated experimentally using kit ACE 1104 (DSPACE) .
Keywords :
PWM invertors; induction motor drives; machine control; neurocontrollers; diagnostic controller; four switch three phase inverter; neural network toolbox; neural-network-based controller; real-time fault detection; space vector modulation; three phase inverter fed induction motor drive; Application software; Artificial neural networks; Fault detection; Fault diagnosis; Induction motor drives; Mathematical model; Phase modulation; Pulse width modulation inverters; Space vector pulse width modulation; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2009. ICIT 2009. IEEE International Conference on
Conference_Location :
Gippsland, VIC
Print_ISBN :
978-1-4244-3506-7
Electronic_ISBN :
978-1-4244-3507-4
Type :
conf
DOI :
10.1109/ICIT.2009.4939636
Filename :
4939636
Link To Document :
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