Multivariable Fuzzy Logic Controller Based on a Compensator of Interactions and Genetic Tuning
نویسندگان
چکیده
A fuzzy controller for multivariable systems based on fuzzy controllers for the decoupled monovariable subsystems and a fuzzy compensator of the interactions is introduced. The fuzzy compensator acts as a feedforward controller. It has as inputs the outputs of the monovariable controllers considered as known perturbations and produces compensation signals which are added to the single loop control signals for minimizing the effect of the interactions. The proposed algorithm improves the interpretability of a fuzzy multivariable Mamdani fuzzy controller. A genetic algorithm is used for determining the parameters of the fuzzy controller and compensator. The performance of the methodology is analyzed on two systems: a benchmark model of a distillation column and two-link manipulators.
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