Speed regulation of IVCIM using PI, fuzzy and NN predictive controller

Abstract

In this paper, performance of an indirect vector control induction motor (IVCIM) has been studied with proportional plus integral (PI), fuzzy logic and neural network (NN) based controllers. Implementation of PI, fuzzy logic control and NN predictive control for studies of regulation of speed in IVCIM is described under different operating conditions of induction motor. Simulation studies of IVCIM have been carried out in MATLAB. Stator currents, electromagnetic torque and rotor speed of IVCIM have been analyzed using three controllers. A comparative performance analysis of IVCIM with three different controllers has been discussed.

Direct Torque Control for Permanent Magnet Synchronous Motors Based on Fuzzy Regulator

“…Fuzzy regulator can adjust the system intensity according to the value of tracking error, so that it's possible to effectively restrain the mutation of the stator current and reduce harmonic current. While harmonic current is the main root of torque ripple [9]. Fig.…”