DocumentCode
2773554
Title
Comparison of Conventional, Fuzzy Logic and Neural Based HBPWM Current Controllers
Author
Yadaiah, Narri ; Kumar, N. Ravi ; Das, G. Tulasi Ram
Author_Institution
Jawaharlal Nehru Technol. Univ., Hyderabad
fYear
0
fDate
0-0 0
Firstpage
2986
Lastpage
2992
Abstract
This paper presents intelligent approach and model based approach for implementation of hysteresis band PWM current controller, a voltage source inverter. Current controlled voltage source inverters offer substantial advantages in improving motor system dynamics for high performance ac drive systems. This paper compares the performance of conventional, fuzzy and neural networks methods by simulating an indirect vector control of induction motor.
Keywords
AC motor drives; fuzzy control; machine vector control; neurocontrollers; fuzzy logic; high performance ac drive systems; hysteresis band; indirect vector control; induction motor; motor system dynamics; neural based HBPWM current controllers; voltage source inverter; AC motors; Control systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Hysteresis motors; Machine vector control; Neural networks; Pulse width modulation inverters; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9490-9
Type
conf
DOI
10.1109/IJCNN.2006.247255
Filename
1716504
Link To Document