Intelligent System on Chip for Aircraft Landing Control

Abstract

We propose sliding mode control (SMC) with different types of particle swarm optimization for an aircraft automatic landing system (ALS). The controller parameters are adjusted by a fuzzy system, adaptive weight particle swarm optimization, and grey-based particle swarm optimization. When an aircraft encounters wind shear, it diverges from the originally scheduled flight condition, and the aircraft ALS cannot be used in such an environment during large wind speed changes. The proposed intelligent control scheme can help pilots guide an aircraft to a safe landing in wind shear of up to 58 ft/s. In addition to software simulation, real-time automatic landing control is realized by an embedded floating-point digital signal processor (DSP). Control signals are obtained by relative sensors and sent to the DSP in a hardware simulation.