Volume 7, Issue 1, February 2019, Page: 39-45
System Modeling and Controller Design for Lateral and Longitudinal Motion of F-16
Waqas Ahmed, School of Automation, Northwestern Polytechnical University, Xi’an, China
Zhongjian Li, School of Automation, Northwestern Polytechnical University, Xi’an, China
Hamid Maqsood, School of Automation, Northwestern Polytechnical University, Xi’an, China
Bilal Anwar, School of Automation, Northwestern Polytechnical University, Xi’an, China
Received: Apr. 15, 2019;       Published: Jun. 15, 2019
DOI: 10.11648/j.acis.20190701.15      View  55      Downloads  11
Abstract
Classical control laws are still widely used in aviation industry because of their good structural understanding, simplicity, and better tracking control performance. However in recent decades the application of such controllers are getting substantial interest of researchers. This paper addresses controller design method for longitudinal and lateral motion autopilots of F-16. Aircraft complete mathematical model was obtained using Newton-Euler formulism. The non-linear model was linearized around equilibrium points at certain trim conditions to obtain state space model of the system. Comparative analysis of two linear controllers, Proportional-Integral-Derivative (PID) and Linear-Quadratic-Regulator (LQR) is investigated and control algorithm is proposed. Both the control schemes use feedback control laws and a careful selection of tuning parameters for controllers is carried out to track the desired input reference. Effectiveness of both controllers is illustrated with the help Matlab/Simulink figures and results.
Keywords
Aircraft Modeling, Autopilots, PID, LQR
To cite this article
Waqas Ahmed, Zhongjian Li, Hamid Maqsood, Bilal Anwar, System Modeling and Controller Design for Lateral and Longitudinal Motion of F-16, Automation, Control and Intelligent Systems. Vol. 7, No. 1, 2019, pp. 39-45. doi: 10.11648/j.acis.20190701.15
Reference
[1]
Stevens, B. L., Lewis, F. L., & Johnson, E. N. (2015). Aircraft control and simulation: dynamics, control design, and autonomous systems. John Wiley & Sons.
[2]
Ji-Hong Zhu. A Survey of Advanced Flight Control Theory and Application. IMACS Multi conference on Computational Engineering in System Application (CESA). 2006; 1: 655-658.
[3]
Z Peng, L Jikai. On new UAV flight control system based on Kalman & PID. IEEE Transaction, International Conference on Harbin. 2011; 2: 819-823.
[4]
McRuer, Duane T., Dunstan Graham, and Irving Ashkenas. Aircraft dynamics and automatic control. Vol. 740. Princeton University Press, 2014.
[5]
Ohri, J. (2014, December). GA tuned LQR and PID controller for aircraft pitch control. In 2014 IEEE 6th India International Conference on Power Electronics (IICPE) (pp. 1-6). IEEE.
[6]
Usta, M. A., Akyazi, Ö., & Akpinar, A. S. (2011, June). Aircraft roll control system using LQR and fuzzy logic controller. In 2011 International Symposium on Innovations in Intelligent Systems and Applications (pp. 223-227). IEEE.
[7]
Hajiyev, C., & Vural, S. Y. (2013). LQR controller with Kalman estimator applied to UAV longitudinal dynamics. Positioning, 4 (1), 36.
[8]
Wahid, N., Rahmat, M. F. A., & Jusoff, K. (2010). Comparative assesment using LQR and fuzzy logic controller for a pitch control system. European Journal of Scientific Research, 42 (2), 184-194.
[9]
Rahimi, M. R., Hajighasemi, S., & Sanaei, D. (2013). Designing and simulation for vertical moving control of UAV system using PID, LQR and Fuzzy Logic. International Journal of Electrical and Computer Engineering, 3 (5), 651.
[10]
Noth, A., Bouabdallah, S., & Siegwart, R. (2006). Dynamic modeling of fixed-wing uavs. Autonomous System Laboratory Report, ETH, Zurich.R.
[11]
C. Nelson, 1998, Flight Stability and Automatic Control, McGraw Hill, Second Edition.
[12]
Akyazi, O., Usta, M. A., & Akpinar, A. S. (2012). A self-tuning fuzzy logic controller for aircraft roll control system. International Journal of Control Science and Engineering, 2 (6), 181-188.
[13]
X Zhou, Z Wang, H Wang. Design of Series Leading Correction PID Controller. IEEE Conference. 2009.
[14]
G. Sudha and S. N. Deepa “Optimization for PID Control Parameters on Pitch Control of Aircraft Dynamics Based on Tuning Methods” Appl. Math. Inf. Sci. 10, No. 1, 343-350 (2016).
[15]
Wahid, N., & Hassan, N. (2012, February). Self-tuning fuzzy PID controller design for aircraft pitch control. In 2012 Third International Conference on Intelligent Systems Modelling and Simulation (pp. 19-24). IEEE.
[16]
Abdulla I. Abdulla, Ibrahim K. Mohammed, Abdulhamed M. Jasim “Roll Control System Design Using Auto Tuning LQR Technique” International Journal of Engineering and Innovative Technology (IJEIT) Volume 7, Issue 1, July 2017.
[17]
Labane Chrif, Z. M. Kadda, “Aircraft Control System Using LQG and LQR Controller with Optimal Estimation-Kalman Filter Design,” Elsevier, Proce-dia Engineering, 80, (2014): 245.
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