Self-Organising Fuzzy Logic Control of a Liquid Level Process

Abstract

This paper deals with the real time implementation of Fuzzy logic controllers on a liquid level control system. By applying fuzzy logic controller based on two different rule sets, it is shown that the selection of proper rules is critical for acheiving good system performance. The ability of the Self-organising fuzzy logic controller(SOFLC) to learn and modify a crude set of rules to acheive a good performance is demonstrated. The SOFLC algorithm used in this work needs less computation time and hence suitable for real time control applications.