Mechanics & Industry
Volume 16, Number 2, 2015
|Number of page(s)||8|
|Published online||22 January 2015|
Adaptive fuzzy self-learning controller based rotor resistance estimator for vector controlled induction motor drive
Mohammadia Engineering School, Department of Electrical
Engineering, Avenue Ibn
Sina, B.P. 765,
a Corresponding author:
Accepted: 8 October 2014
This paper presents an intelligent approach to identify and adapt the rotor resistance for an indirect vector controlled induction motor drive. This command is affected by rotor resistance; the variation of this parameter could distort the decoupling between flux and torque and, consequently, lead to deterioration of drive performance. To overcome this problem, a fuzzy estimator is provided to identify the real value of rotor resistance in order to obtain a vector control optimal. Then we propose a fuzzy adaptive control strategy fits into the learning methods context by modifying the consequences of fuzzy estimator. Regarding the learning algorithm, our solution envisages the use of a fuzzy inverse model, combined with a mechanism that acts based on estimator rules by modifying the consequents according to a certain criterion, so as to increase the system robustness, and avoid unnecessary oscillation in the control signal. The suggested rotor resistance identification approach has been validated by simulation study.
Key words: Adaptive control / fuzzy logic / induction motor / learning system / rotor resistance
© AFM, EDP Sciences 2015
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