Constrained Adaptive Backstepping Controller Design for Aircraft Landing in Wind Disturbance and Actuator Stuck

Title & Authors
Constrained Adaptive Backstepping Controller Design for Aircraft Landing in Wind Disturbance and Actuator Stuck
Yoon, Seung-Ho; Kim, You-Dan; Park, Sang-Hyuk;

Abstract
An adaptive backstepping controller is designed for the automatic landing of a fixed-wing aircraft. The backstepping control scheme is adopted by using the nonlinear six degree-of-freedom dynamics of the aircraft during the landing phase. The adaptive law is integrated along with the backstepping controller in order to estimate the aircraft modeling errors as well as the external disturbance. The dynamic constraints of the states and the actuator inputs are taken into account in the parameter adaptation. This is done to prevent an aggressive adaptation and to provide reliable control commands. Numerical simulations were performed to verify the performance of the proposed control law for the landing of the aircraft with the presence of gust and actuator stuck.
Keywords
Adaptive control;backstepping scheme;hedging technique;command filter;automatic landing;
Language
English
Cited by
1.
Dynamic surface control of a piezoelectric fuel injector during rate shaping, Control Engineering Practice, 2014, 30, 12
2.
A Ground-Based Near Infrared Camera Array System for UAV Auto-Landing in GPS-Denied Environment, Sensors, 2016, 16, 9, 1393
References
1.
Statistical Summary of Commercial Jet Airplane Accidents: Worldwide Operations 1959-2001, Airplane Safety Division, Boeing Commercial Airplane, Seattle, Washington, June 2002, pp. 17-22, URL: http://www.boeing.com/aboutus/govt_ops/reports_white_papers/commercial_jet_airplane_accidents_statistical_summary.pdf [cited 27 March 2012].

2.
Stevens, B. L., and Lewis, F. L., Aircraft Control and Simulation, Second Edition, John Wiley & Sons, Hoboken, NJ, 2003.

3.
Niewoehner, R. J., and Kaminer I., "Design of an Autoland Controller for Carrier-Based F-14 Aircraft Using $H_{{\infty}}$ Output-Feedback Synthesis", American Control Conference, Baltimore, MD, June 1994.

4.
Fialho, I., Balas, G. J., Packard, A. K., Renfrow, J., and Mullaney C., "Gain-Scheduled Lateral Control of the F-14 Aircraft During Powered Approach Landing", Journal of Guidance, Control, and Dynamics, Vol. 23, No. 3, 2000, pp. 450-458.

5.
Liao, F., Wang, J. L., Poh, E. K., and Li, D., "Fault-Tolerant Robust Automatic Landing Control Design", Journal of Guidance, Control, and Dynamics, Vol. 28, No. 5, 2005, pp. 854-871.

6.
Wagner, T., and Valasek, J., "Digital Autoland Control Laws Using Quantitative Feedback Theory and Direct Digital Design", Journal of Guidance, Control, and Dynamics, Vol. 30, No. 5, 2007, pp. 1399-1413.

7.
Khalil, H. K., Nonlinear Systems, Third Edition, Prentice Hall, Inc., Upper Saddle River, NJ, 2002.

8.
Krstic, M., Kanellakopoulos, I., and Kokotovic, P., Nonlinear and Adaptive Control Design, John Wiley & Sons, Inc., New York, NY, 1995.

9.
Biju, B., and Pradeep, S., "Automatic Landing System Design using Feedback Linearization Method", AIAA Infotech@Aerospace 2007 Conference and Exhibit, Rohnert Park, CA, May 2007.

10.
Ju, H., Tsai, C., and Lee, C., "Flight Path Control Design for Glide-slope Tracking by Backstepping", IEEE International Conference on Mechatronics, Taipei, Taiwan, July 2005.

11.
Saini, G., and Balakrishnan, S. N., "Adaptive Critic Based Neurocontroller for Autolanding of Aircrafts", American Control Conference, Albuquerque, NM, June 1997.

12.
Naikal, N. S., Panikkar, R., Pashilkar, A. A., and Nagaraj, R., "Improved Fault Tolerance for Autolanding Using Adaptive Backstepping Neural Controller", 16th IEEE International Conference on Control Applications, Singapore, October 2007.

13.
Yoon, S., Kim, Y., and Kim, S., "Pursuit Guidance Law and Adaptive Backstepping Controller Design for Vision- Based Net-Recovery UAV", AIAA Guidance, Navigation, and Control Conference, Honolulu, HI, August 2008.

14.
Lee, D., Kim, H. J., and Sastry, S., "Feedback Linearization vs. Adaptive Sliding Mode Control for a Quadrotor Helicopter", International Journal of Control, Automation, and Systems, Vol. 7, No. 3, 2009, pp. 419-428.

15.
Nho, K., and Agarwal, R. K., "Automatic Landing System Design Using Fuzzy Logic", Journal of Guidance, Control, and Dynamics, Vol. 23, No. 2, 2000, pp. 298-304.

16.
Ha, C., "Gain-Scheduled Directional Guidance Controller Design Using a Genetic Algorithm for Automatic Precision Landing", International Journal of Control, Automation, and Systems, Vol. 8, No. 1, 2010, pp. 107-117.

17.
Johnson, E., and Calise, A. J., "Neural Network Adaptive Control of Systems with Input Saturation", American Control Conference, Arlington, VA, June 2001.

18.
Farrell, J., Sharma, M., and Polycarpou, M., "Backstepping-Based Flight Control with Adaptive Function Approximation", Journal of Guidance, Control, and Dynamics, Vol. 28, No. 6, 2005, pp. 1089-1102.

19.
Airplane Flying Handbook, "Chapter 8. Approaches and Landings", Federal Aviation Administration, FAAH-8083-3A, 2004, pp. 1-35, URL: http://www.faa.gov/library/manuals/aircraft/airplane_handbook/ media/faa-h-8083-3a-4of7.pdf [cited 27 March 2012].

20.
Lee, T., and Kim, Y., "Nonlinear Adaptive Flight Control Using Backstepping and Neural Networks Controller", Journal of Guidance, Control, and Dynamics, Vol. 24, No. 4, 2001, pp. 675-682.

21.
Kdrason, S. P., and Annaswamy, A. M., "Adaptive Control in the Presence of Input Constraints", IEEE Transactions on Automatic Control, Vol. 39, No. 11, 1994, pp. 2325-2330.

22.
Annaswamy, A. M., and Wong, J. E., "Adaptive Control in the Presence of Saturation Nonlinearity", International Journal of Adaptive Control and Signal Processing, Vol. 11, No. 1, 1997, pp. 3-19.

23.
Polycarpou, M., Farrell, J., and Sharma, M., "On-Line Approximation Control of Uncertain Nonlinear Systems: Issues with Control Input Saturation", American Control Conference, Denver, CO, June 2003.

24.
Sonneveldt, L., Chu, Q. P., and Mulder, J. A., "Nonlinear Flight Control Design Using Constrained Adaptive Backstepping", Journal of Guidance, Control, and Dynamics, Vol. 30, No. 2, 2007, pp. 322-336.

25.
Jackson, E. B., and Cruz, C. L., "Preliminary Subsonic Aerodynamic Model for Simulation Studies of the HL-20 Lifting Body", NASA TM4302, Langley Research Center, Hampton, VA, August 1992.

26.
Gage, S., "NASA HL-20 Lifting Body Airframe Modeled with Simulink and the Aerospace Blockset", MATLAB Digest [online journal], Vol. 10, No. 4, 2002, URL: http://www.mathworks.com/company /newsletters/digest/july02/ [cited 27 March 2012].