Title :
Fuzzy controller design: recommendations to the user
Author_Institution :
Dept. of Electr. & Electron. Eng., Victoria Univ. of Technol., Melbourne, Vic., Australia
Abstract :
This paper attempts to analyse and classify different methods of fuzzy control (FC) design. It aims at providing some practical recommendations on how to design a FC and how to choose the right design method. The goal is to develop a more or less systematic procedure of a FC design which can be used as a reference. The design process can be roughly divided into two stages: an initial choice of the controller structures and parameters, and their further adjustment. Recommendations are given at the first stage regarding a choice of the structure, scaling factors, rules and membership functions, though the main attention is focused on the membership functions and scaling factors. Different methodologies, such as neural networks, genetic/evolutionary algorithms, are considered at the second stage
Keywords :
control system synthesis; fuzzy control; fuzzy set theory; genetic algorithms; neural nets; three-term control; PID control; control design method; controller structures; evolutionary algorithms; fuzzy control; fuzzy rules; fuzzy set theory; genetic algorithms; membership functions; neural networks; scaling factors; Artificial intelligence; Australia; Control engineering; Control systems; Design methodology; Design optimization; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy sets;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
DOI :
10.1109/KES.1998.726030