Design of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop.
Journal article
Authors | Stewart, Paul, Stone, David and Fleming, Peter |
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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. |
Keywords | Fuzzy systems; Evolutionary/Genetic algorithms; Methodologies; Models and algorithms; Hardware-in-the-loop |
Year | 2004 |
Journal | Engineering Applications of Artificial Intelligence |
Publisher | Elsevier |
ISSN | 0952-1976 |
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 dates | 10 May 2004 |
Publication process dates | |
Deposited | 30 Jul 2019, 12:05 |
Accepted | 08 Mar 2004 |
Rights | Attribution 3.0 United States |
Contributors | University of Sheffield |
File | File Access Level Open |
File | File Access Level Open |
File |
https://repository.derby.ac.uk/item/93xv3/design-of-robust-fuzzy-logic-control-systems-by-multi-objective-evolutionary-methods-with-hardware-in-the-loop
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