Three-Dimensional Trajectory Control via Nonlinear Adaptive Approach

Article Preview

Abstract:

A representation of robust nonlinear controller is proposed for ammunitions space trajectory control, which is combined adaptive dynamic inverse with sliding mode control. The control law design accomplishes 3-D trajectory tracking using attitude angle as control input, and includes the parameter update to correct force model errors, also sliding mode switch portion to resist winds. A transition reference trajectory which is easy to implement for tracking is designed, according to the actual location and speed of start control point. Simulation results show the proposed control strategy get accurate tracking performance of excellent dynamic characteristics in large uncertainties.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1285-1289

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S. Manu, A. Calise, and J. Corban, Application of an adaptive autopilot design to a family of guided munitions, AIAA Guidance, Navigation, and Control Conference and Exhibit, 2000: 1-9.

DOI: 10.2514/6.2000-3969

Google Scholar

[2] L. Duan, W. Lu, F. Mora-Camino, T. Miquel, Flight-path tracking control of a transportation aircraft: comparison of two nonlinear design approaches, 25th Digital Avionics Systems Conference, 2006: 1-9.

DOI: 10.1109/dasc.2006.313702

Google Scholar

[3] Kaminer, A. Pascoal, E. Hallberg, C. Silvestre. Trajectory tracking for autonomous vehicles: an integrated approach to guidance and control. Journal of Guidance, Control, and Dynamics, 21(1): 29-38, (1998).

DOI: 10.2514/2.4229

Google Scholar

[4] H. Bouadi, F. Mora-Camino, Aircraft trajectory tracking by nonlinear spatial inversion, AIAA Guidance, Navigation, and Control Conference, 2012: 1-17.

DOI: 10.2514/6.2012-4613

Google Scholar

[5] Y. Shtessel, J. Buffngton, and S. Banda, Multiple time scale flight control using reconfigurable sliding modes, Journal of Guidance, Control, and Dynamics, 22(6): 873-883, (1999).

DOI: 10.2514/2.4465

Google Scholar

[6] D. H. Shin, Y. Kim, Reconfigurable flight control system design using adaptive neural networks, IEEE Transactions on Control Systems Technology, 12(1): 543-550, (2004).

DOI: 10.1109/tcst.2003.821957

Google Scholar

[7] L. Sonneveldt , Q. P. Chu, and J. A. Mulder, Nonlinear flight control design using constrained adaptive backstepping, Journal of Guidance, Control, and Dynamics, 30(2): 322-336, (2007).

DOI: 10.2514/1.25834

Google Scholar