Gains Tuning of Fuzzy Controllers Based on a Cost Function Optimization

Authors

Abstract

This paper presents a methodology for tuning the gains of fuzzy proportional-integral controllers where the concept of closed loop control system performance is explicitly taken into account. The fuzzy controller gains are found by solving a nonlinear constrained optimization problem considering the system's dynamics described by a nonlinear model and a set of constraints on the controller gains, control actions and outputs. Experimental results from a testbed show the pertinence of using the proposed tuning technique.

Keywords

Fuzzy Control, Gains Tuning, Nonlinear Optimization, Constrained admissible solution

Subject

Design of Fuzzy controllers

Conference

Controlo2012 - 10th Portuguese Conference on Automatic Control, July 2012