Analysis of Aircraft Path Planning Optimal on Carrier Flight Deck

Abstract:

Since the limited space and complicated environment, we can't solve this problem by traditional path planning method which taking the aircraft as a particle. Aim at this problem, we introduce the pseudospectral method from the field of optimal control, and indicate the feasibility and advantage based on theory discussion. To simulate the actual path planning on flight deck, we build a carrier deck space environment, establish the collision detecting mechanism based on polar coordinates transforming. Finally an aircraft dynamic model and a simplified obstacle model are designed, thus the path planning constraint equation is given. The veracity and convergence of this method is verified by experiment simulation results.

• Periodical: Advanced Materials Research (Volume 664)
• Pages: 1122-1127
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.664.1122
• Online since: February 2013
• Authors: Yao Yu Li, Yi Fan Zhu, Qun Li
• Keywords: Carrier Aircraft, Optimal Control, Path Planning, Pseudospectral Method

References

[1] Jeffrey S. Johnston. A Feasibility Study of a Persistent Monitoring System for the Flight Deck of U.S. Navy Aircraft Carriers. DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY. (2009).

[2] Nikolos I K, Valavanis K P. Evolutionary algorithm based offline/online path planner for OAV navigation. IEEE Transactions on Systems, Man, and Cybernetics, 2003, 33(6)' 898-912.

DOI: 10.1109/tsmcb.2002.804370

[3] Q. Gong, W. Kang and I. M. Ross. A pseudospectral method for the optimal control of constrained feedback linearizable systems. IEEE Trans. Auto. Cont., Vol. 51, No. 7, July 2006, pp.1115-1129.

DOI: 10.1109/tac.2006.878570

[4] I. M. Ross and F. Fahroo. Pseudospectral methods for optimal motion planning of differentially flat systems. IEEE Trans. Auto. Cont., Vol. 49, No. 8, pp.1410-1413, August (2004).

DOI: 10.1109/tac.2004.832972

[5] Huntington G T, Benson D, Rao A V. A comparison of accuracy and computational efficiency of three pseudospectral methods. AIAA-2007-6405, (2007).

DOI: 10.2514/6.2007-6405

[6] Ross, I. M. User's Manual for DIDO: A MATLAB Application Package for Solving Optimal Control Problems. Elissar, Monterey, CA, 2007. Document TR 705.

[7] Q. Gong, I. M. Ross, W. Kang and F. Fahroo. Connections between the covector mapping theorem and convergence of pseudospectral methods for optimal control. Computational Optimization and Applications, (2007).

DOI: 10.1007/s10589-007-9102-4

[8] Lewis, L.R. Pseudospectral Motion Planning Techniques for Autonomous Obstacle Avoidance. Proceedings of the 46th IEEE Conference on Decision and Control New Orleans, LA, USA, Dec. 12-14, (2007).

DOI: 10.1109/cdc.2007.4434545

[9] Michael A. Hurni. Issues on UGV Optimal Motion Planning and Obstacle Avoidance. AIAA Infotech@Aerospace Conference, 6-9 April 2009, Seattle, Washington.

DOI: 10.2514/6.2009-1975

[10] Lewis, L.R. Rapid Motion Planning and Autonomous Obstacle Avoidance for Unmanned Vehicles. Naval Postgraduate School, Monterey, CA, December (2006).