Selection of controller parameters using genetic algorithms

In this paper the problem of setting the initial values for tho parameters of a class of controllers is approached using genetic algorithms. The controller parameters, computed off-line via the optimization of a quadratic error performance index, can be used to initialize the controller incorporated in the real plant. During the on-line control stage and to increase the overall performance, other tuning mechanisms can be considered [5].