Theoretical and Simulation Based Approach for Controlling Aircraft Longitudinal and Lateral Yaw Damper Movement Using PID Controller
|R. Dahiya1 , A. K. Singh2|
1 Dept. of Physics, Indian Institute of Technology (IIT), Delhi, India.
2 Dept. of Electrical Engineering, Deenbandhu Chhotu Ram Univ. of Science and Technology, Sonepat, India.
|Correspondence should be addressed to: email@example.com.|
Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 21-26, Sep-2017
Online published on Sep 30, 2017
Copyright © R. Dahiya, A. K. Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
|View this paper at Google Scholar | DPI Digital Library|
|XML View||PDF Download|
IEEE Style Citation: R. Dahiya, A. K. Singh, “Theoretical and Simulation Based Approach for Controlling Aircraft Longitudinal and Lateral Yaw Damper Movement Using PID Controller”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.21-26, 2017.
MLA Style Citation: R. Dahiya, A. K. Singh "Theoretical and Simulation Based Approach for Controlling Aircraft Longitudinal and Lateral Yaw Damper Movement Using PID Controller." International Journal of Computer Sciences and Engineering 5.9 (2017): 21-26.
APA Style Citation: R. Dahiya, A. K. Singh, (2017). Theoretical and Simulation Based Approach for Controlling Aircraft Longitudinal and Lateral Yaw Damper Movement Using PID Controller. International Journal of Computer Sciences and Engineering, 5(9), 21-26.
|190||129 downloads||60 downloads|
|In this manuscript we consider two different parameters of DC-8 aircraft and extend the work as original research for controlling the longitudinal and lateral yaw damper movement. Here we consider both the theoretical and numerical aspect of aircraft dynamics by modeling the control surfaces i.e., elevators and lateral yaw damper. For controlling these control surfaces we design an intelligent PID controller and examine the overall performance of the system primarily based on time response specification. The simulation results generated are plotted and evaluated between controller response v/s deflection of control surfaces i.e., horizontal stabilizer and vertical stabilizer/rudder. The controller is designed based on dynamical model of aircraft for which equations are derived governing input to elevator, and rudder, which are used to control aircraft longitudinal and directional stability of aircraft. A quantitative analysis of PID controller has been carried out in MATLAB 2014a Simulink© environment for all the two movements of aircraft based on time response specification.|
|Key-Words / Index Term :|
|Pitch, Yaw, Elevators, Rudder, PID|
 “Airframe and Power plant Mechanics”, (AC 65-15A)-Airframe Hand Book FAA”, U.S Department of Transportation-FAA, USA, pp.21-48, 1972.
 Q. Ma et al, “The design of longitudinal control augmentation system for aircraft based on L1 adaptive control”, IEEE Chinese Guidance, Navigation and Control conference (CGNCC), pp. 713-717, 2016.
 J. H. Kim, S. A. Gadsden and S. A. Wilkerson, “Adaptive integral sliding mode controller for longitudinal rotational control of a tilt rotor aircraft, 24th Mediterranean conference on control and automation (MED), pp. 820-825, 2016.
 I.N. Ibrahim and M.A. Al Akkad, “Exploiting An intelligent Fuzzy-PID system in nonlinear aircraft pitch control”, IEEE International Siberian Conference on Control and Communication (SIBCON), pp.1-7, 2016.
 P. Husek and K. Narenathreyas, “Aircraft longitudinal motion control based on Takagi-Sugeno fuzzy model”, Applied Soft Computing, Vol 49, pp. 269-278, Dec 2016.
 “Simulation of Design Systems”, H. Klee and R. allen, CRC Press, pp. 312-316
 “Flight dynamics, simulation and Control, for rigid and flexible aircraft”, R. Vepa, CRC Press, pp. 419-421.
 J. Chen, M.N. Omidvar, M. Azad and X. yao, “Knowledge-base Particle Swarm Optimization for PID controller tuning, 2011 IEEE Congress on Evolutionary Computation (CEC), 2017, pp. 1819-1826.