Application of Adaptive Type-2 Fuzzy CMAC to Automatic Landing System

Computational intelligence that utilizes adaptive fuzzy cerebellar model articulation controller (FCMAC) to aircraft automatic landing system is proposed in this paper. The proposed intelligent scheme uses CMAC and type-2 fuzzy system. Current flight control law is adopted in the controller design. Lyapunov stability theory is applied to obtain adaptive learning rule and to guarantee stability of the automatic landing system. Performance on tracking desired landing path and environment adaptive capability are demonstrated through software simulations. The proposed intelligent system can guide the aircraft to a safe landing in severe turbulence condition and act as an experienced pilot.