Genetic algorithm for weight selection in H∞ control design

This work is concerned with the development of a procedure to calculate the parameters of the weighting functions used in H_∞ controller designs in order to achieve a desired system performance. A genetic algorithm is employed to search for suitable solutions. To cope with the imprecision and vagueness that arises in the description of objective functions and problem constraint concepts of the fuzzy logic are incorporated to the solution. A multiobjective fuzzy optimisation is stated and fuzzy convex decision-making is established. To evaluate the potentiality of the proposed method the tuning of an autopilot of a ship is investigated and compared to results obtained after a traditional design stage