Robust Controller Design Based on Genetic Algorithms and System Simulation

A genetic algorithm based controller design approach is described. The genetic algorithm represents an optimisation procedure, where the cost function to be minimized comprises the closed-loop simulation and a performance index evaluation. Based on this, simple design and two robust controller design methods have been proposed. All design methods are experimentally compared. Additionally, for qualitative evaluation and comparison of different controllers a proposed statistical robustness measure is presented.