Application of intelligent systems and DSP to landing controller design

This paper presents different artificial life algorithms and the cerebellar model articulation controller (CMAC) to aircraft automatic landing control design. The artificial life algorithms are bacterial foraging optimization (BFO), particle swarm optimization (PSO), chaos particle swarm optimization (CPSO) and bacterial swarm optimization (BSO). Wind shear is introduced in flight simulations. Conventional aircraft automatic landing system can not be used in such environment during serious wind speed changes. The proposed intelligent control scheme can help the pilots guide the aircraft to a safe landing in a vile weather. The proposed controller is realized by a Texas Instruments DSP.