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A Hybrid ACO and Nelder-Mead constrained Algorithm for Controller and Anti-Windup Tuning
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Author(s) |
Maude-Josée BLONDIN, Pierre SICARD |
Abstract |
Nonlinear controller tuning with anti-windup is not trivial since the parameters within the structure are interdependent. A global optimization-based tuning approach can handle this interdependence. A hybrid Ant Colony Optimization (ACO) and Nelder-Mead (NM) algorithm for controller and anti-windup tuning efficiently solves this problem. This paper proposes a new way to constrain ACO-NM algorithm to ensure positivity of key parameters in order to avoid searches in instability or low robustness regions and to improve computation time to reach an optimal solution. |
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Filename: | 0436-epe2014-full-21240625.pdf |
Filesize: | 342.4 KB |
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Type |
Members Only |
Date |
Last modified 2015-06-08 by System |
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