Genetic Design of Optimal Type-1 and Type-2 Fuzzy Systems for Longitudinal Control of an Airplane
Oscar Castillo, Leticia Cervantes · Intelligent Automation & Soft Computing · 2014
This paper presents the design of fuzzy systems for the longitudinal control of an F-14 airplane using genetic algorithms. The longitudinal control is carried out by controlling only the elevators of the airplane. To carry out such control it is necessary to use the stick, the rate of elevation and the angle of attack. These 3 variables are the inputs to the fuzzy inference system, which is of Mamdani type we obtain as the output value of the elevators. After designing the fuzzy inference system we turn to the simulation stage. Simulation results of the longitudinal control are obtained using a plant in Simulink and those results are compared against the PID controller. For optimizing the fuzzy logic control design we use a genetic algorithm. The main contribution of the paper is the optimal design of type-1 and type-2 fuzzy system for longitudinal control of the airplane.