Reentry Trajectory Optimization of Airbreathing Hypersonic Vehicles Based on Gauss Pseudospectral Method

Bo Yang; Shang Sun

doi:10.4028/www.scientific.net/AMR.383-390.7375

Paper Titles

Development of Service Platform for Machine Tool Fixture Design and Manufacture
p.7351

The Modeling and Simulation of EGCS Based on Matlab/Simulink
p.7356

Simulation Study of Damage Identification Method Based on Lamb Wave Scattering in Aluminium Plate
p.7362

Modeling and Dynamic Characteristic of a Pneumatic Solenoid Valve
p.7369

Reentry Trajectory Optimization of Airbreathing Hypersonic Vehicles Based on Gauss Pseudospectral Method
p.7375

Analysis of Dual Stator-Winding Induction Generator Based on Ansoft
p.7381

Molecular Dynamics Simulation of the Rapid Solidification of Liquid Zinc
p.7385

Modeling and Simulation for Super Capacitor Braking Energy Recovery Process of Micro EV
p.7390

Application of Complex Method for Optimization of Isolated Heat Pipe Heat Exchange System
p.7396

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Reentry Trajectory Optimization of Airbreathing...

Reentry Trajectory Optimization of Airbreathing Hypersonic Vehicles Based on Gauss Pseudospectral Method

Abstract:

According to the nonlinear, multivariable and multi-constraint features of the reentry trajectory optimization problem of airbreathing hypersonic vehicles, a suboptimal solution method is developed. The reentry trajectory generation is converted to a nonlinear programming (NLP) problem by using Gauss pseudospectral method (GPM). The state and control variables on Gauss nodes are chosen as parameters to be optimized and the minimum total heat absorption is chosen as the optimal performance index. Then the sequential quadratic programming (SQP) method is used to solve the NLP problem. The states of optimized trajectory are compared with the states obtained by the integral of kinetic equations. By simulating on an example of airbreathing hypersonic vehicles, it is demonstrated that the above method is not sensitive to the estimate of motion states and is easier to converge. And the method is effective to solve trajectory optimization problems.

You might also be interested in these eBooks

Manufacturing Science and Technology, ICMST2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

7375-7380

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.7375

Citation:

Cite this paper

Online since:

November 2011

Authors:

Bo Yang, Shang Sun

Keywords:

Airbreathing Hypersonic Vehicle, Gauss Pseudospectral Method, Minimum Total Heat Absorption, Sequential Quadratic Programming, Trajectory Optimization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. Zhang, Q. Wang, Optimal Control Theory and Application, 1st ed. Beijing: 2007, pp.108-127.

Google Scholar

[2] D. A. Benson, A Gauss pseudospect raltranscription for optimal control, MIT, 2005, in press.

Google Scholar

[3] C. Andrew, D. M. Maj, C. Wu and S. Choil, An Aero-Propulsion Integrated Elastic Model of a Generic Airbreathing Hypersonic Vehicle, AIAA Guidance, Navigation, and Control Conference and Exhibit, AIAA Press, Aug. 2006, pp.154-173.

DOI: 10.2514/6.2006-6560

Google Scholar

[4] Q. Zong, B. Tian, L. Dou，Ascent Phase Trajectory Optimization for Near Space Vehicle Based on Gauss Pseudospectral Method, Journal of Astronautics, vol. 31, No. 7, July. 2010, pp.1775-1781, doi: 10. 3873Pj. ISSN. 100021328.

Google Scholar

[5] Y. Yuan, Numerical Methods for Nonlinear Programming, 1st ed. Shanghai: 1993, pp.207-217.

Google Scholar

[6] Z. Shen, P. Lu, Onboard generation of three dimensional Constrained entry trajectories, Journal of Guidance Control and Dynamics, Vol. 41, no. 2. 24 Jan. 2003, pp.111-121, doi: 1548-8837/200804-10-501451 (MT).

DOI: 10.2514/2.5021

Google Scholar