Comparison of fuzzy logic and classical controller designs for nonlinear systems

Abstract

The design of controllers for nonlinear systems in industry is a complex and difficult task. The development of nonlinear control techniques has been approached in many different ways with varied results. One approach which has been shown promise for solving nonlinear control problems is the use of fuzzy logic control. Fuzzy controllers have proven suitable for many nonlinearly modeled industrial processes (as have been successfully demonstrated in Japan and Europe) such as linguistically controlled devices and systems that cannot be precisely described by mathematical formulae. A unified approach for comparing the performance of fuzzy and nonfuzzy (classical) controller designs for nonlinear systems is presented in this dissertation; also, two fuzzy controllers are presented and compared with classical controllers and then compared with each other. These two fuzzy controllers are the Mamdani (for the two …