Receding Horizon Control on Automatic Landing Lateral Loop of Carrier-Based Aircraft

Article Preview

Abstract:

Since the angled deck is only tens miles width, the task of landing an aircraft on an aircraft carrier requires precise control, especially lateral loop. For this problem, this paper focuses on researching the aircraft automatic landing lateral control. In lateral control, the most crucial parts are controlling the off center distance and keeping the desired landing attitude. So firstly a nonlinear kinetic model of aircraft landing in lateral directional axis is established, and then transformed into error states. The controller is designed for an angle of attack of 11.7 deg and an airspeed of 40m/s, the equilibrium point. Receding horizon control methodology is employed to solve the aircraft lateral control problem. This controller is solved in MATLAB, and sent to the 3D simulation environment by network communication, to control the aircraft landing lateral loop. The simulation environment is programmed based on VC++ software. The simulation results show that receding horizon control method can achieve trajectory tracking and attitude tracking of nonlinear aircraft landing system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1610-1616

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] SHI Liang, Influence of Disturbances on Ship – based Aircraft's Landing Process. Computer Simulation 1106-9438 (2009) 12-0046-03.

Google Scholar

[2] LI Juan, BIAN Xin-qian, XIA Guo-qing, WANG Hong-jian. Research on Visualization of Flight Simulation For Carrier Aircraft. Computer Simulation, 1006-9348 (2008) 02-0294-05.

Google Scholar

[3] Tamas Kevicaky, Gary J Balas. Receding horizon control of an F-16 aircraft: A comparative study. Control Engineering Practice 14 (2006) 1023-1033.

DOI: 10.1016/j.conengprac.2005.06.003

Google Scholar

[4] M M Kale, A J Chipperfield. Stabilized MPC formulations for robust reconfigurable flight control. Control Engineering Practice 13 (2005) 771-788.

DOI: 10.1016/j.conengprac.2004.09.001

Google Scholar

[5] YUAN Suo-zhong, YANG Jing, GONG Hua-jun, YANG Yi-dong. H∞ Controller design of the Landing Guidence System. Journal of Nanjing University of Aeronautics & Astronautics, Vol. 30, No. 4(1998)377-381.

Google Scholar

[6] Powell F D, Theclitus T. Study of an Automatic Carrier Landing Environment with the AN/SPN-10 Landing Control Central. AD462348, Electromagnetic Systems Section, Bell Aerosystems Company, Buffalo, New York, 1 April, (1965).

Google Scholar

[7] Rojek F W. Development of a Mathematical Model that Simulates the Longitudinal and Lateral-Directional Response of the F/A-18 for the Study of Flight Control Reconfiguration. AD-A176333, Jan., (1987).

Google Scholar

[8] Ramon Gonzalez, Mirko Fiacchini, Jose Luis Guzman, et al. Robust tube-based predictive control for mobile robots in off-road conditions. Robotics and Autonomous Systems 59 (2011) 711-726.

DOI: 10.1016/j.robot.2011.05.006

Google Scholar

[9] Jee-Hun Park, Tae-Hyoung Kim, Toshiharu Sugie. Output feedback model predictive control for LPV systems based on quasi-min-max algorithm. Automatica 47 (2011) 2052-(2058).

DOI: 10.1016/j.automatica.2011.06.015

Google Scholar

[10] S.M. Lee, Ju H. Park. Output feedback model predictive control for LPV systems using parameter-dependent Lyapunov function. Applied Mathematics and Computation 190(2007) 671-676.

DOI: 10.1016/j.amc.2007.01.061

Google Scholar

[11] Mark R Anderson, Chris Clark, Greg Dungan. Flight test maneuver design using a skill- and rule-based pilot model. Systems, Man and Cybernetics, 1995, 2682-2687.

DOI: 10.1109/icsmc.1995.538188

Google Scholar

[12] Abhijit Chakraborty, Peter Seiler, Gary Balas. Susceptibility of F/A-18 Flight Controllers to the Falling-Leaf Mode. Nonlinear Analysis. Journal of Guidance, Control, and Dynamics Vol. 34, No. 1, January-February (2011).

DOI: 10.2514/1.50675

Google Scholar

[13] Mayuresh V Kothare, Venkataramanan Balakrishnan, Manfred Morari. Robust Constrained Model Predictive Control Using Linear Matrix Inequalities. Automatica, Vol. 32, No. 10(1996) 1361-1379.

DOI: 10.1016/0005-1098(96)00063-5

Google Scholar