Design and Simulation of a Novel Clustering based Fuzzy Controller for DC Motor Speed Control

Abstract

This research article proposes the speed control of a DC Motor (series as well as shunt motor). The noveltyof this article lies in the application of kernel based hybrid c-means clustering (KPFCM) in the design offuzzy controller for the speed control of DC Motor. The proposed approach provides a mechanism to obtainthe reduced rule set covering the whole input/output space as well as the parameters of membershipfunctions for each input variable. The performance of the proposed clustering based fuzzy logic controlleris compared with that of its corresponding conventional fuzzy logic controller in terms of severalperformance measures such as rise time, peak overshoot, settling time, integral absolute error (IAE) andintegral of time multiplied absolute error (ITAE) and in each case, the proposed scheme shows improvedperformance over its conventional counterpart. Also it shows that the proposed controller scheme givesmuch faster results as it reduces the computational time.

Keywords: DC Motor, Fuzzy control, Kernel, Clustering, Validity index