Comparative assessment using LQR and fuzzy logic controller for a pitch control system

• Main Authors: Wahid, Nurbaiti, Rahmat, Mohd. Fua’ad, Jusoff, Kamaruzaman
• Format: Article
• Published: EuroJournals Publishing, Inc. 2010
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/25920/; https://www.researchgate.net/publication/267767915_Comparative_Assessment_using_LQR_and_Fuzzy_Logic_Controller_for_a_Pitch_Control_System
• Institution: Universiti Teknologi Malaysia

Today’s aircraft designs rely heavily on automatic control system to monitor and control many of aircraft’s subsystem. The development of this work is to model a pitch controller based on design an autopilot that controls the pitch of an aircraft. A comparative assessment based on time response specification performance between modern and intelligent controller for a pitch control system is presented. In 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. It is found from simulation, LQR controller give the best performance compared to fuzzy logic controller.