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A robust controller design method for feedback substitution schemes using genetic algorithms

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Trujillo, M. M., Hadjiloucas, S. and Becerra, V. (2011) A robust controller design method for feedback substitution schemes using genetic algorithms. Journal of Physics: Conference Series, 307 (1). 012040. ISSN 1742-6596

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To link to this article DOI: 10.1088/1742-6596/307/1/012040

Abstract/Summary

Controllers for feedback substitution schemes demonstrate a trade-off between noise power gain and normalized response time. Using as an example the design of a controller for a radiometric transduction process subjected to arbitrary noise power gain and robustness constraints, a Pareto-front of optimal controller solutions fulfilling a range of time-domain design objectives can be derived. In this work, we consider designs using a loop shaping design procedure (LSDP). The approach uses linear matrix inequalities to specify a range of objectives and a genetic algorithm (GA) to perform a multi-objective optimization for the controller weights (MOGA). A clonal selection algorithm is used to further provide a directed search of the GA towards the Pareto front. We demonstrate that with the proposed methodology, it is possible to design higher order controllers with superior performance in terms of response time, noise power gain and robustness.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:27064
Publisher:IOP Publishing

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