Technical Papers
Apr 27, 2016

Adaptive Self-Tuning Flight Control System for ATLANTE UAS

Publication: Journal of Aerospace Engineering
Volume 29, Issue 5

Abstract

This paper presents an adaptive self-tuning flight control system (AST-FCS) for a fixed-wing aircraft, applied to a high-fidelity dynamic model of the ATLANTE unmanned aircraft system (UAS). This new adaptive control system is based on adaptive predictive (AP) control methodology and a new guidance system. AP control has been implemented in many complex industrial applications with excellent results, but it has not been applied in the aerospace sector yet. Experimental results obtained in simulation by flying a high-fidelity model of the ATLANTE UAS illustrate excellent control system performance and show the robustness of the AST-FCS, which has been designed without using accurate knowledge of the aircraft dynamics embedded within the model. It is expected that the application of AP control in this field could introduce significant advantages in aircraft control, improving performance in a wide variety of flight conditions and reducing design costs.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The contents of this paper are part of the results of a project (IDI-20091238) funded by the Spanish Centre for the Development of Industrial Technology (CDTI) developed by Adaptive Predictive Expert Control ADEX S.L. in partnership with EADS (Airbus Defence and Space). The authors wish to express their gratitude to these two companies for their contribution to this publication.

References

Alag, G., and Kaufman, H. (1977). “An implementable digital adaptive flight controller designed using stabilized single-stage algorithms.” IEEE Trans. Autom. Control, 22(5), 780–788.
Ali-Raza, S., and Gueaieb, W. (2010). Motion control: Intelligent flight control of an autonomous quadrotor, Kluwer Academic Publishers, Norwell, MA.
Athans, M., et al. (1977). “The stochastic control of the F-8 aircraft using a multiple model adaptive control method. Part 1: Equilibrium flight.” IEEE Trans. Autom. Control, 22(5), 768–780.
Barker, J. M., Balas, G. J., and Blue, P. A. (1999). “Active flutter suppression via gain-scheduled linear fractional control.” Proc., American Control Conf., IEEE, 4014–4018.
Blakelock, J., and John, H. (1991). Automatic control of aircraft and missiles, Wiley, New York.
Bryson, A. (1977). “Mini-issue on NASA’s advanced control program for the F-8 DFBW aircraft.” IEEE Trans. Autom. Control, 22(5), 752.
Calise, A., and Rysdyk, R. (2002). “Nonlinear adaptive flight control using neural networks.” IEEE Control Syst., 18(6), 14–25.
Chao, Z., Ming, L., Shaolei, Z., and Wenguang, Z. (2011). “Collision-free UAV formation flight control based on non-linear MPC.” Int. Conf. on Electronics, Communications and Control (ICECC), IEEE, 1951–1956.
Clarke, D., and Mohtadi, C. (1987). “Properties of generalized predictive control.” Proc., 10th IFAC World Congress, IFAC, New York.
Cordon, O., Gomide, F., Herrera, F., Hoffmann, F., and Magdalena, L. (2004). “Ten years of genetic fuzzy systems: Current framework and new trends.” Fuzzy Sets Syst., 141(1), 5–31.
De Keyser, R., and Cauwenberghe, V. (1984). “Extended horizon adaptive control.” Proc., 9th IFAC World Congress, IFAC, New York.
De Keyser, R., and Cauwenberghe, V. (1985). “Extended prediction self-adaptive control.” Proc., 7th IFAC Symp. on Identification and Control, IFAC, New York.
Dogan, A., Sato, S., and Blake, W. (2005). “Flight control and simulation for aerial refueling.” AIAA Guidance, Navigation and Control Conf. and Exhibit, AIAA, Reston, VA, 388–394.
Doitsidis, L., Valavanis, K. P., Tsourveloudis, N. C., and Kontitsis, M. (2004). “A framework for fuzzy logic based UAV navigation and control.” Proc., 2004 IEEE Int. Conf. on Robotics and Automation, New Orleans.
Dunbar, W., Milam, M., Franz, R., and Murray, R. (2002). “Model predictive control of a thrust-vectored flight control experiment.” IFAC 15th Triennial World Congress, IFAC, New York.
Dunn, H., and Montgomery, R. (1977). “A moving window parameter adaptive control system for the F-8 DFBW aircraft.” IEEE Trans. Autom. Control, 22(5), 788–795.
Elliot, J. (1977). “NASA’s advanced control law program for the F-8 digital fly-by-wire aircraft.” IEEE Trans. Autom. Control, 22(5), 753–757.
Fujimori, A., Terui, F., and Nikiforuk, P. (2005). “Flight control design of an unmanned space vehicle using gain scheduling.” J. Guidance Control Dyn., 28(1), 96–105.
Gadewadikar, J., Lewis, F., Subbarao, K., and Chen, B. (2008). “Structured H-infinity command and control-loop design for unmanned helicopters.” J. Guidance Control Dyn., 31(4), 1093–1102.
Garrard, W. L., and Liebst, B. S. (1985). “Active flutter suppression using eigenspace and linear quadratic design techniques.” J. Guidance Control Dyn., 8(3), 304–311.
Kale, M., and Chipperfield, A. (2005). “Stabilized MPC formulations for robust reconfigurable flight control.” Control Eng. Pract., 13(6), 771–788.
Kandare, G., Viúdez-Moreiras, D., and Hernández-del Olmo, F. (2012). “Adaptive control of the oxidation ditch reactors in a wastewater treatment plant. Special issue: Industrial optimized adaptive control.” Int. J. Adapt. Control Signal Process., 26(10), 976–989.
Kurnaza, S., Cetina, O., and Kaynaka, O. (2010). “Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles.” Expert Syst. Appl., 37(2), 1229–1234.
Landau, I. D. (1974). “A survey of model reference adaptive techniques: Theory and application.” Automatica, 10, 356–379.
Leibst, B. S., Garrard, W. L., and Farm, J. A. (1988). “Design of a multivariable fluter suppression/gust load alleviation system.” J. Guidance Control Dyn., 11(3), 220–229.
Leith, D. J., and Leithead, W. E. (2010). “Survey of gain-scheduling analysis and design.” Int. J. Control, 73(11), 1001–1025.
Mahesh, J. K., Stone, C. R., Garrard, W. L., and Dunn, H. (1981). “Control law synthesis for flutter suppression using linear quadratic control theory.” J. Guidance Control Dyn., 4(4), 415–422.
Martín-Sánchez, J. M. (1976). “A new solution to adaptive control.” Proc. IEEE, 64(8), 1209-1218.
Martín-Sánchez, J. M. (1979). “Implementation of an adaptive autopilot scheme for the F-8 aircraft using the adaptive-predictive control system.” Proc., 13th Annual Asilomar Conf. on Circuits, Systems and Computers, Asilomar, Pacific Grove, CA, 606–611.
Martín-Sánchez, J. M. (2012). “Industrial optimized adaptive control. Editorial of Special issue: Industrial optimized adaptive control.” Int. J. Adapt. Control Signal Process., 26(10), 879–880.
Martín-Sánchez, J. M., and Rodellar, J. (1996). Adaptive predictive control: From the concepts to plant optimization, Prentice Hall, Upper Saddle River, NJ.
Martín-Sánchez, J. M., and Rodellar, J. (2012). “Survey of industrial optimized adaptive control. Special issue: Industrial optimized adaptive control.” Int. J. Adapt. Control Signal Process., 26(10), 881–918.
Martín-Sánchez, J. M., and Rodellar, J. (2015). ADEX optimized adaptive controllers and systems: From research to industrial practice, Springer, U.K.
MATLAB 2013b [Computer software]. MathWorks, Natick, MA.
Nevado, A., Requena, R., Viúdez-Moreiras, D., and Plano, E. (2011). “A new control strategy for IKN-type coolers.” Control Eng. Pract., 19(9), 1066–1074.
Newsom, J. R. (1979). “Control law synthesis for active flutter suppression using optimal control theory.” J. Guidance Control Dyn., 2(5), 388–394.
Nguyen, N., Bakhtiari-Nejad, B., and Huang, Y. (2007). “Hybrid adaptive flight control with bounded linear stability analysis.” AIAA Guidance, Navigation and Control Conf. and Exhibit, AIAA, Reston, VA.
Paijmans, B., Symens, W., Van Brussel, H., and Swevers, J. (2006). “A gain-scheduling-control technique for mechatronic systems with position-dependent dynamics.” American Control Conf., Minneapolis.
Pérez, L., Perez, F. J., Cerezo, J., and Catediano, J. (1997). “Adaptive predictive control in a thermal power station.” Int. J. Adapt. Control Signal Process., 11(4), 367–378.
Raimondi, A., Favela, A., Estrada, R., Nevado, A., and Gracia, E. (2012). “Adaptive predictive control of the sulphur recovery process at Pemex Cadereyta refinery.” Int. J. Adapt. Control Signal Process., 26(10), 961–975.
Raol, J. R., and Singh, J. (2009). Flight mechanics modeling and analysis, CRC Press, Boca Raton, FL.
Ren, N., and Beard, R. W. (2003). “CLF-based tracking control for UAV kinematic models with saturation constraints.” 42nd IEEE Conf. on Decision and Control, IEEE.
Riesco, J., Calvo, J., and Martín-Sánchez, J. M. (2002). “Adaptive predictive expert (ADEX) control: Application to wastewater treatment plants.” Proc., 2002 IEEE Int. Conf. on Control Applications, IEEE, 992–997.
Sadeghzadeh, I., Mehta, A., Zhang, Y. M., and Rabbath, C. A. (2011). “Fault-tolerant trajectory tracking control of a quadrotor helicopter using gain-scheduled PID and model reference adaptive control.” Annual Conf. of the Prognostics and Health Management Society, Montreal.
Sundararajan, Y., Li, N., and Sratchandran, P. (2001). “Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks.” Automatica, 37(8), 1293–1301.
Tewari, A. (2007). Atmospheric and space flight dynamics, Birkhauser, Boston.
Turkoglu, K., and Jafarov, E. (2006). “H inf. Loop shaping robust control vs. classical PI(D) control: A case study on the longitudinal dynamics of Hezarfen UAV.” Proc., 2nd WSEAS Int. Conf. on Dynamical Systems and Control, WSEAS.
Valls, J. M., and Viúdez-Moreiras, D. (2011). “Using adaptive predictive control in the maximum power point tracking algorithm.” 4th IEEE Seminar for Advanced Industrial Control Applications (SAICA 2011), IEEE.
Van-Soest, W., Chu, Q., and Mulder, J. (2006). “Combined feedback linearization and constrained model predictive control for entry flight.” J. Guidance Control Dyn., 29(2), 427–434.
Verbruggen, Z., and Babuska, A. (1999). Fuzzy algorithms for control, Springer, Netherlands.
Viúdez-Moreiras, D. (2013). “Adaptive optimized flight control system for a fixed-wing aircraft (in Spanish).” Ph.D. thesis, UNED, Madrid, Spain.
Viúdez-Moreiras, D., Martín, I., and Martín-Sánchez, J. M. (2014). “A new pitch angle adaptive control design.” IEEE Int. Conf. on Unmanned Aircraft Systems (ICUAS14), IEEE.
Woods-Vedeler, J. A., Pototzky, A., and Hoadley, S. T. (1995). “Rolling maneuver load alleviation using active controls.” J. Aircraft, 32(1), 68–76.

Information & Authors

Information

Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 29Issue 5September 2016

History

Received: Jun 18, 2014
Accepted: Aug 20, 2015
Published online: Apr 27, 2016
Published in print: Sep 1, 2016
Discussion open until: Sep 27, 2016

Permissions

Request permissions for this article.

Authors

Affiliations

Daniel Viúdez-Moreiras, Ph.D. [email protected]
ADEX S.L., Alan Turing St., 3, 28038 Madrid, Spain (corresponding author). E-mail: [email protected]
Juan M. Martín-Sánchez [email protected]
Professor, Dept. of IEEC, UNED, Juan del Rosal St., 14, 28040 Madrid, Spain. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share