An Improved Optimization Algorithm Combined Model Parameterization and Sequential Quadratic Programming

DOI

10.2991/icmemtc-16.2016.331How to use a DOI?

Keywords

Model Parameterization; Sequential Quadratic Programming; Trajectory Optimization

Abstract

According to the nonlinear problem of the trajectory optimization problem of rocket projectile, an improved optimization algorithm combined the direct model parameterization method and the sequential quadratic programming method was proposed. The direct numerical method was presented to converts the infinite dimensional optimization problem into a finite dimensional nonlinear programming problem. The improved sequential quadratic programming algorithm was derived by making a special treatment on the constraint conditions. Taking the range as the independent variable instead of the time, and taking the maximum range trajectory and the shortest f time trajectory as the function of the performance index respectively, the trajectory optimization model was presented, and the numerical simulations were carried out. The results show that the proposed algorithm is effective to solve the trajectory optimization problem.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weiwei Bian
AU  - Zhenfang Xin
PY  - 2016/04
DA  - 2016/04
TI  - An Improved Optimization Algorithm Combined Model Parameterization and Sequential Quadratic Programming
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1751
EP  - 1756
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.331
DO  - 10.2991/icmemtc-16.2016.331
ID  - Bian2016/04
ER  -