Design of optimal fuzzy controllers for stabilization of a Helicopter Simulator using hybrid Elite Genetic Algorithm and Tabu Search

In this paper, a new intelligent method based on hybridization of Elite Genetic Algorithm and Tabu Search (HEGATS) to design optimal fuzzy controllers for multi-input multi-output (MIMO) nonlinear system is proposed. The principle of the proposed method is to find the elitism by Genetic Algorithm and to introduce it in the Tabu Search algorithm as initial solution in order to find the optimal fuzzy rule base of the fuzzy controllers. HEGATS is tested for control of a Helicopter Simulator. Simulation results show the effectiveness of the proposed method.