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

[thumbnail of Open Access journal]
Preview
Text (Open Access journal) - Published Version
· Please see our End User Agreement before downloading.
| Preview

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Trujillo, M. M., Hadjiloucas, S. orcid id iconORCID: https://orcid.org/0000-0003-2380-6114 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 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.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/27064
Identification Number/DOI 10.1088/1742-6596/307/1/012040
Refereed Yes
Divisions Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher IOP Publishing
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar