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

José Rubén Lagunas Jiménez, Víctor Manuel Moo Yam, Benjamín Ortíz Moctezuma


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.


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

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