Application of adaptive self-organizing CMAC_GBF to aircraft landing system

This paper presents an intelligent control scheme that uses an adaptive self-organizing cerebellar model articulation controller with general basis function (CMAC_GBF) in aircraft automatic landing system (ALS). During landing phase if the flight condition is out of the desired or preset environments, such as encountering severe turbulence, the ALS is disabled. The proposed intelligent controller can act as an experienced pilot and guide the aircraft landed safely in the serious condition. Lyapunov theory is applied to obtain adaptive learning rule and stability analysis is also provided. The performance of the proposed controller is better than conventional CMAC_GBF.