ANALYSIS OF PSO TECHNIQUE TO TUNE UPDATING FACTORS OF PD-BASED FUZZY LOGIC CONTROLLERS

Abstract

A fuzzy logic technique - based controller has been considered to be an
efficient control strategy in dealing with systems characterized by nonlinearities
and uncertainties. To design such a fuzzy logic controller, there are several issues
which should be taken into account. They are the determination of rule base, the
selection of membership functions and the tuning of input and/or output
updating factors. With a defined fuzzy logic-based controller, e.g. PD-type, the
last one can strongly affect control performances of the system applying such a
fuzzy logic regulator. This study presents a feasible method using particle swarm
optimization (PSO) technique to solve this problem. The PSO technique has not
only a simple and fast implementation but also a good optimization efficiency.
The paper also analyzes a typical simulation example of the speed control
strategy for a DC motor applying the proposed control method in order to
demonstrate the feasibility and efficiency of the proposed method.