Optimized Fuzzy-Proportional/Integral/Derivative Controller for Aircraft Pitch Control

Abstract

This paper presents a simple-structured fuzzy-proportional/integral/derivative controller for pitch control of a linearized full-scale generic transport aircraft model. Particle swarm optimization is applied to offline optimize the fuzzy-proportional/integral/derivative controller scaling gains as well as simultaneously optimize parameters within the first-order Takagi–Sugeno-type inference system. The performance of the controller is tested against a baseline state feedback and fine-tuned proportional/integral/derivative (particle swarm optimization–proportional/integral/derivative) controller. Numerical simulations are conducted comparing the fuzzy-proportional/integral/derivative controller to the other linear controllers when linear and nonlinear models of uncertainty are added post-optimization. The results demonstrate the robustness of the proposed nonlinear offline optimized fuzzy-proportional/integral/derivative controller.