Abstract
In this paper we present a design of a fuzzy system for the longitudinal control of an F-14 airplane. The longitudinal control is carried out only by controlling the elevators of the airplane. To carry out such monitoring it is necessary to use the stick, the rate of elevation and the angle of attack. These 3 variables are input into the fuzzy inference system, which is of Mamdani type, and we obtain as output the 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.
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Cervantes, L., Castillo, O. (2010). Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplane. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_13
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DOI: https://doi.org/10.1007/978-3-642-15534-5_13
Publisher Name: Springer, Berlin, Heidelberg
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