• DocumentCode
    3590919
  • Title

    GA tuned LQR and PID controller for aircraft pitch control

  • Author

    Chugh, Vishal ; Ohri, Jyoti

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol. Kurukshetra, Kurukshetra, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper linear quadratic Regulator (LQR) and Proportional integral derivative (PID) controllers are designed for pitch control system of an aircraft. Genetic Algorithm (GA) is used for tuning the parameter LQR and PID controllers. The controller design begins with the appropriate mathematical model to account the longitudinal motion of an aircraft. Simulation is done within the MATLAB and results for the pitch angle response of an aircraft are represented in step´s response. LQR and PID controllers are associated with their parameters which can either be tuned manually or by optimized methods like genetic algorithms to get better control and enhancement in the performance. GA is the powerful tool in the field of global optimization to various problems. Here genetic algorithm is successfully applied for Pitch control of an aircraft using MATLAB simulation for tuning of LQR and PID controllers and thus optimized parameters values for the LQR and PID controllers are derived.
  • Keywords
    aircraft control; control system synthesis; genetic algorithms; linear quadratic control; pitch control (position); three-term control; GA tuned LQR; MATLAB simulation; PID controller; aircraft pitch control system; genetic algorithm; global optimization; linear quadratic regulator; longitudinal motion; mathematical model; proportional integral derivative controller design; step response; Aerospace control; Aircraft; Biological cells; Control systems; Genetic algorithms; Mathematical model; Tuning; GA; LQR; Longitudinal dynamics; MATLAB; PID; Pitch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics (IICPE), 2014 IEEE 6th India International Conference on
  • Print_ISBN
    978-1-4799-6045-3
  • Type

    conf

  • DOI
    10.1109/IICPE.2014.7115839
  • Filename
    7115839