计算机工程与科学2012，Vol.34Issue(4)：145-150,6.DOI:10.3969/j.issn.1007-130X.2012.04.028
基于SQP算法的SAR成像导引头三维弹道优化
3D Trajectory Optimization of the SAR Imaging Seeker Based on SQP
摘要
Abstract
Trajectory design of the missile-borne SAR platform is the basis of the SAR imaging algorithm research. In order to decrease missile attacking time while satisfying the SAR imaging conditions, the SAR imaging seeker's trajectory needs to be optimized. This problem belongs to the nonlinear optimal control problem, and the sequential quadratic programming (SQP) optimization algorithm is used to slove it. Firstly, a 3D trajectory optimization model of the SAR imaging seeker is constructed. The con-traints include the SAR imaging constraint, be overload contraint and the attitude contraint. Furthermore, the original optimal control problem is transformed into a nonlinear programming problem, and then it is solved by the SQP algorithm. The more discreted nodes are, the biger the nonlinear programming problem scale is and the longer the solving time is. The simulation results show that, the SQP algorithm can effectively solve the trajectory optimization of the SAR seeker, and its solution satisfies all the model constraints.关键词
SAR成像/导引头/SQP/弹道优化Key words
SAR imaging/ seeker/SQP/ trajectory optimization分类
信息技术与安全科学引用本文复制引用
张刚,祝明波,陈瑜,李相平..基于SQP算法的SAR成像导引头三维弹道优化[J].计算机工程与科学,2012,34(4):145-150,6.基金项目
中科院电子所预研基金资助项目 （）
