DocumentCode :
2729928
Title :
Neural network speed controller of induction motor drive based on direct MRAC method
Author :
Jiang, Xianglong ; Zhao, Jin ; Luo, Hui ; Cheng, Shanmei ; Wan, Shuyun
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Hubei, China
Volume :
3
fYear :
2003
fDate :
2-6 Nov. 2003
Firstpage :
2531
Abstract :
A novel neural network speed controller (NNSC) of induction motor drive is presented, which is on-line trained by a dynamic BP algorithm based on direct model reference adaptive control (MRAC) method. In particular, a new error function is used for the dynamic BP algorithm, which can adjust the parameters of NNSC and minimize the error between motor speed and the speed provided by reference model. A 2-rank linear model is used as reference model, which can be automatically designed according to performance indices given beforehand. The induction motor drive with a NNSC based on dynamic BP algorithm and direct MRAC method is proved to be asymptotic stable. The simulation and experimental results reveal that the proposed NNSC based on direct MRAC method can ensure motor speed tracking the reference speed closely, and having robustness against load disturbances.
Keywords :
asymptotic stability; induction motor drives; minimisation; model reference adaptive control systems; neurocontrollers; velocity control; asymptotic stability; induction motor drive; model reference adaptive control; motor speed; neural network speed controller; AC motors; Adaptive control; Artificial intelligence; DC motors; Fuzzy logic; Heuristic algorithms; Induction motor drives; Induction motors; Neural networks; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
Type :
conf
DOI :
10.1109/IECON.2003.1280644
Filename :
1280644
Link To Document :
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