A Fuzzy Compensator of Interactions for a Multivariable Generalised Predictive Control
نویسندگان
چکیده
A method for the design multivariable generalised predictive controllers based on the compensation of interactions is introduced. The design proceeds in two steps. In the first step, the interactions are ignored and single input single output generalised predictive controllers are designed for the resulting subsystems. In a second step, a fuzzy compensator of interactions acting feedforward produces compensation signal for each subsystem. A multiobjective genetic algorithm is used to find the optimal parameters of the fuzzy compensator. The method is applied in simulation to the multivariable control of a binary distillation column.
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تاریخ انتشار 2008