Optimal fuzzy controller for backing up a truck using simulated annealing algorithm

Syed Ali Akbar; Wiley E. Thompson

doi:10.1117/12.243176

14 June 1996 Optimal fuzzy controller for backing up a truck using simulated annealing algorithm

Syed Ali Akbar, Wiley E. Thompson

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243176
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Design of a fuzzy controller requires specification of both membership functions and decision rules. Specification of membership function for a fuzzy logic controller has been an important issue. The traditional way of selecting membership functions has been, in most cases, an adhoc procedure. In this paper, an optimization algorithm based on simulated annealing for designing fuzzy membership functions for fuzzy controllers is introduced. An optimization algorithm for designing the membership functions and fuzzy rule base for a fuzzy controller is presented. An optimal fuzzy controller using proposed technique for backing up a truck problem is designed and implemented, in which optimal fuzzy membership functions and fuzzy rules are designed. Also, a neural network controller for the same truck problem is designed to compare our results.

Citation Download Citation

Syed Ali Akbar and Wiley E. Thompson "Optimal fuzzy controller for backing up a truck using simulated annealing algorithm", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243176

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