Comparison of Fuzzy Logic Controller with PID Controller in Induction Motor Control
Abhinav V. Deshpande *
School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
*Author to whom correspondence should be addressed.
Abstract
The conventional speed controller for the induction motor suffers from the problem of stability besides these controllers show either the steady state error (PID Controller) or the sluggish response (PI, PID) to perturbation in the reference setting or during the load perturbation. In order to avoid this problem, the research paper focuses mainly on the theory of the control system for the induction motor which is based on the fuzzy logic. The Fuzzy Logic Controller (FLC) relies on a set of the linguistic rules, like a human operator. This research paper presents a rule-based Mamdani type fuzzy logic controller which is applied to a closed loop induction motor model. The motor model is designed and the membership functions are chosen according to the parameters of the motor model. The results obtained in the simulation process. The results obtained in the simulation process are interesting, thereby considering the presence of a strong non-linearity in the IM model. A conventional PI controller is compared practically to a fuzzy logic controller by using the Simulink.
Keywords: Scalar speed control, induction motor, Simulink, fuzzy logic controller (FLC), steady state error, proportional integral derivative (PID) controller