An Experiment-based Comparative Study of Fuzzy Logic Control

Abstract

This paper presents an approach to the control of a dynamic physical system through the use of approximate reasoning. The approach has been implemented in a program named POLE and we have successfully built a prototype hardware system to solve the cart-pole -balancing problem in real-time. This approach provides a complementary alternative to the conventional analytical control methodology, and is of substantial use where a precise mathematical model of the process being controlled is not available. This paper also furnishes a set of criteria for comparing controllers based on approximate reasoning and those based on conventional control schemes.