Resumen

LAGUNAS-JIMENEZ, José Rubén; MOO-YAM, Víctor  y  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.

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

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )