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Comparative Analysis of Vector Control of Induction Motor using PI Controller with Fuzzy Logic Controller

Journal: International Journal of Science and Research (IJSR) (Vol.2, No. 4)

Publication Date:

Authors : ; ;

Page : 404-409

Keywords : Adaptive Neuro Fuzzy logic controller; field-oriented control; proportional-Integral Controller; squirrel cage induction motor;

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This paper presents a performance based comparative study of fuzzy logic controller (FLCs) with conventional PI Controller to control the speed of squirrel-cage induction motor (SCIM) by replacing the conventional proportional integral (PI) controller. The fuzzy logic based controller does not require any identification of motor dynamic to control its speed and also assures the disturbance rejection with high robustness. Performances of the fuzzy controllers are also compared with the conventional PI speed controller in terms of several performance measures such as peak overshoot (Mp%), settling time (ts), rise time (tr), peak time (tp) at specified value of load (torque). The simulation results show the effectiveness of the controllers based on fuzzy logic techniques. In this paper, an implementation of intelligent controller for speed control of an induction motor (IM) using direct vector control method has been developed and analyzed in detail. The paper simulates in MATLAB for studies a 50 HP (37KW), cage type induction motor has been considered. The comparative performance of Fuzzy Logic control technique has been presented and analyzed in this work. The fuzzy logic controller is found to be very useful techniques to obtain a high performance speed control. The indirect vector controlled induction motor drive involves decoupling of the stator current in to torque and flux producing components.

Last modified: 2021-06-30 20:15:34