Design of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop.

Journal article


Stewart, Paul, Stone, David and Fleming, Peter 2004. Design of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2004.03.003
AuthorsStewart, Paul, Stone, David and Fleming, Peter
Abstract

Evolutionary development of a fuzzy-logic controller is described and is evaluated in the context of hardware in the loop. It had been found previously that a robust speed controller could be designed for a DC motor motion control platform via off-line fuzzy logic controller design. However to achieve the desired performance, the controller required manual tuning on-line. This paper investigates the automatic design of a fuzzy logic controller directly onto hardware. An optimiser which modifies the fuzzy membership functions, rule base and defuzzification algorithms is considered. A multi-objective evolutionary algorithm is applied to the task of controller development, while an objective function ranks the system response to find the Pareto-optimal set of controllers. Disturbances are introduced during each evaluation at run-time in order to produce robust performance. The performance of the controller is compared experimentally with the fuzzy logic controller which has been designed off-line, and a standard PID controller which has been tuned online. The on-line optimised fuzzy controller is shown to be robust, possessing excellent steady-state and dynamic characteristics, demonstrating the performance possibilities of this type of approach to controller design.

KeywordsFuzzy systems; Evolutionary/Genetic algorithms; Methodologies; Models and algorithms; Hardware-in-the-loop
Year2004
JournalEngineering Applications of Artificial Intelligence
PublisherElsevier
ISSN0952-1976
Digital Object Identifier (DOI)https://doi.org/10.1016/j.engappai.2004.03.003
Web address (URL)http://hdl.handle.net/10545/624030
http://creativecommons.org/licenses/by/3.0/us/
hdl:10545/624030
Publication dates10 May 2004
Publication process dates
Deposited30 Jul 2019, 12:05
Accepted08 Mar 2004
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Attribution 3.0 United States

ContributorsUniversity of Sheffield
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