Fuzzy control simulation research of airplane nose wheel steering turning system

The fuzzy control method of airplane nose wheel steering turning based on improved immune genetic algorithm was researched. Aiming at the airplane with three-wheel undercarriage, the nonlinear mathematical model of the nose wheel steering turning system was established. The proposed algorithm which combined the immune algorithm, genetic algorithm and the niche technology, overcame the imperfection of simple genetic algorithm. The new GA controller could optimize the fuzzy control parameters and the simulation results of the nose wheel steering turning system are satisfactory.