SciELO - Scientific Electronic Library Online

 
vol.18 issue2An Adaptive Random Search for Unconstrained Global OptimizationFeature Selection for Microarray Gene Expression Data Using Simulated Annealing Guided by the Multivariate Joint Entropy author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Computación y Sistemas

On-line version ISSN 2007-9737Print version ISSN 1405-5546

Abstract

LAGUNAS-JIMENEZ, José Rubén; MOO-YAM, Víctor  and  ORTIZ-MOCTEZUMA, Benjamín. Two-Degrees-of-Freedom Robust PID Controllers Tuning Via a Multiobjective Genetic Algorithm. Comp. y Sist. [online]. 2014, vol.18, n.2, pp.259-273. ISSN 2007-9737.  https://doi.org/10.13053/CyS-18-2-2014-031.

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.

Keywords : Multiobjective optimization; two-degrees-of-freedom PID controller; robustness; uncertainty; genetic algorithm.

        · abstract in Spanish     · text in English

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License