Two-Degrees-of-Freedom Robust PID Controllers Tuning Via a Multiobjective Genetic Algorithm
In this paper, a design methodology for a proportional integral derivative (P ID) control design is presented by means of the statement of a multiobjective optimization pr oblem (MOP). Two - degrees - of - f reedom controller (PID - ISA) is used. The objective functions are deployed considering a se...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | México |
| Institución: | Universidad Autónoma de Campeche |
| Repositorio: | Redalyc-UAC |
| OAI Identifier: | oai:redalyc.org:61531305004 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=61531305004 |
| Access Level: | acceso abierto |
| Palabra clave: | Computación of two degrees robustness uncertainty |
| Sumario: | In this paper, a design methodology for a proportional integral derivative (P ID) control design is presented by means of the statement of a multiobjective optimization pr oblem (MOP). Two - degrees - of - f reedom controller (PID - ISA) is used. The objective functions are deployed considering a set point response, load disturbances and robustness to model uncertainty as its components. The time constant of measurement noise filter is a component of the vector of decision variables . The optimization problem is solved by means of a genetic algorithm . |
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