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New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm

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New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm

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Blondin, MJ.; Sanchís Saez, J.; Sicard, P.; Herrero Durá, JM. (2018). New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm. Applied Soft Computing. 62:216-229. https://doi.org/10.1016/j.asoc.2017.10.007

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/132934

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Title: New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] In this paper, an optimal gain tuning method for PID controllers is proposed using a novel combination of a simplified Ant Colony Optimization algorithm and Nelder¿Mead method (ACO-NM) including a new procedure to ...[+]
Subjects: Automatic voltage regulator , PID controller , Optimization , Nelder-Mead algorithm , Ant Colony Optimizationa
Copyrigths: Reserva de todos los derechos
Source:
Applied Soft Computing. (issn: 1568-4946 )
DOI: 10.1016/j.asoc.2017.10.007
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.asoc.2017.10.007
Thanks:
This work was supported by the Vanier Canada Graduate Scholarship, the Michael Smith Foreign Study Supplements Program from the Natural Sciences and Engineering Research Council of Canada and by the Ministerio de Economia ...[+]
Type: Artículo

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