Diseño óptimo de actuadores y sensores para sistemas lineales mediante algoritmos genéticos
- Tapia Córdoba, Alejandro 1
- Orihuela, Luis 2
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1
Universidad Loyola Andalucía
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2
Universidad de Huelva
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- Ramón Costa Castelló (coord.)
- Manuel Gil Ortega (coord.)
- Óscar Reinoso García (coord.)
- Luis Enrique Montano Gella (coord.)
- Carlos Vilas Fernández (coord.)
- Elisabet Estévez Estévez (coord.)
- Eduardo Rocón de Lima (coord.)
- David Muñoz de la Peña Sequedo (coord.)
- José Manuel Andújar Márquez (coord.)
- Luis Payá Castelló (coord.)
- Alejandro Mosteo Chagoyen (coord.)
- Raúl Marín Prades (coord.)
- Vanesa Loureiro-Vázquez (coord.)
- Pedro Jesús Cabrera Santana (coord.)
Verlag: Servizo de Publicacións ; Universidade da Coruña
ISBN: 9788497498609
Datum der Publikation: 2023
Seiten: 376-381
Kongress: Jornadas de Automática (44. 2023. Zaragoza)
Art: Konferenz-Beitrag
Zusammenfassung
This manuscript revisits a classic problem: optimal design of actuators/sensors for linear time-invariant systems. Considering a state-space description of the system, the goal is to design, subject to some constraints, the input matrix B and/or the output matrix C to optimize some criteria associated with the degree of controlability and/or observability of the system. This work proposes the use of evolutionary algorithms for this problem. The first advantage is that this tool allows to introduce constraints in a simple way, so the problem can be solved in a much general way than other approaches found in the literature. Furthermore, multi-objective optimization can be considered in a direct way with this methodology, making it possible to analyze the case in which more than one criterion is insteresting for the control/estimation application.