Title :
Pitch control system using LQR and Fuzzy Logic Controller
Author :
Wahid, Nurbaiti ; Rahmat, Mohd Fua´ad
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Dungun, Malaysia
Abstract :
This paper presents a comparative assessment based on time response specification performance between modern and intelligent controller for a pitch control system of an aircraft system. The dynamic modeling of pitch control system is considered on the design an autopilot that controls the pitch angle of an aircraft. It begins with a derivation of suitable mathematical model to describe the dynamics of an aircraft. To study the effectiveness of the controllers, the Linear Quadratic Controller (LQR) and Fuzzy Logic Controller (FLC) is developed for controlling the pitch angle of an aircraft system. Simulation results for the response of pitch controller are presented in time domain. Finally, the performances of pitch control systems are investigated and analyzed based on common criteria of step´s response in order to identify which control strategy delivers better performance with respect to the desired pitch angle and pitch rate. It is found from simulation, LQR controller give the best performance compared to fuzzy logic controller.
Keywords :
aircraft control; fuzzy control; intelligent control; linear quadratic control; performance index; vehicle dynamics; LQR control; aircraft dynamics; aircraft system; autopilot; fuzzy logic controller; intelligent controller; linear quadratic controller; mathematical model; pitch angle control; pitch control system; pitch rate; step response; time response specification performance; Aerospace control; Aircraft; Atmospheric modeling; Control systems; Elevators; Fuzzy logic; Mathematical model; Aircraft; Autopilot; Flight control; Fuzzy logic; LQR; Longitudinal dynamic;
Conference_Titel :
Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
Conference_Location :
Penang
Print_ISBN :
978-1-4244-7645-9
DOI :
10.1109/ISIEA.2010.5679436