Intelligent Computation and Dsp-based Landing Control

This paper presents several digital signal processor (DSP) based intelligent controllers for aircraft automatic landing systems (ALSs). Proportional-Integral-Derivative (PID) control law is adopted in the intelligent controller design. A fuzzy cerebellar model articulation controller (CMAC) is utilized to compensate for the PID control signal. Control gains are selected by evolutionary computation. The controllers’ tracking performance of preset landing paths and capability to adaptively respond to different disturbances are demonstrated through hardware simulations. Different evolution methods, namely Adewuya crossover, arithmetical crossover, average crossover, convex crossover and blend crossover are utilized to analyze the controllers’ performances in terms of optimal parameter search. Hardware implementation of this intelligent controller is performed by a DSP board with a VisSim platform. This study also compares different CMACs in order to improve the performance of conventional ALSs. It is known that atmospheric disturbances affect not only the flight qualities of an aircraft, but also the flight safety. However, the proposed intelligent controllers can successfully expand the controllable conditions, even with severe wind disturbances.