Abstract
For linear systems and nonlinear systems, classic controllers such as PID have been widely used in industrial control processes and in flight control systems because of their simple structure and robust performance in a wide range of operating conditions. Several numerical approaches such as Fuzzy Logic Controller (FLC) algorithm and evolutionary algorithms have been used for the optimum design of PID controllers. In this paper Fuzzy PID controller is developed to improve the performance for a pitch control of aircraft system. The controller is designed based on the dynamic modeling of system begins with a derivation of suitable mathematical model to describe the longitudinal motion of an aircraft. Mamdani-type-Fuzzy Logic Controller is used to tune each parameter of Proportional-integral-derivative (PID) controller by selecting appropriate fuzzy rules through simulations. The simulation results show that Fuzzy Logic Controller tuned by PID algorithm is better performance and more robust than the classical type algorithm for aircraft pitch control.
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Deepa, S.N., Sudha, G. (2014). A Design of Longitudinal Control of an Aircraft Using a Fuzzy Logic Based PID Controller. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_49
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DOI: https://doi.org/10.1007/978-81-322-1771-8_49
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