Two-Degrees-of-Freedom Robust PID Controllers Tuning Via a Multiobjective Genetic Algorithm

Authors

  • José Rubén Lagunas Jiménez UNIVERSIDAD AUTÓNOMA DE CAMPECHE
  • Víctor Manuel Moo Yam Universidad Autónoma de Campeche
  • Benjamín Ortíz Moctezuma Universidad Politécnica de Ciudad Victoria

DOI:

https://doi.org/10.13053/cys-18-2-1499

Keywords:

Multiobjective optimization, two-degrees-of-freedom PID controller, robustness, uncertainty, genetic algorithm

Abstract

In this paper, a design methodology for a proportional integral derivative (PID) control design is presented by means of the statement of a multiobjective optimization problem (MOP). Two-degrees-of-freedom 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.

Author Biographies

José Rubén Lagunas Jiménez, UNIVERSIDAD AUTÓNOMA DE CAMPECHE

Profesor investigador de la Facultad de IngenieríaArea : control Automático

Víctor Manuel Moo Yam, Universidad Autónoma de Campeche

Profesor Investigador

Benjamín Ortíz Moctezuma, Universidad Politécnica de Ciudad Victoria

Profesor Investigador

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Published

2014-06-30

Issue

Vol. 18 No. 2 (2014): 18(2) April-June 2014

Section

Articles

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