In this paper a procedure is used to tuner two degrees of freedom controllers (PID-ISA) raised as a multiobjective optimization problem (MOP), applying the multiobjective genetic algorithm NSGA-II (MOGA NSGA-II). The objective functions are deployed considering, setpoint response, load disturbances, measurement noises and robustness to model uncertainty.


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    Title :

    Tuning of Two-Degrees-of-Freedom PID Controllers via the Multiobjective Genetic Algorithm NSGA-II




    Publication date :

    2006-09-01


    Size :

    178689 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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