Multiconstraint adaptive three-dimensional guidance law using convex optimization  

作　　者：FU Shengnan LIU Xiaodong ZHANG Wenjie XIA Qunli 

机构地区：[1]School of Mechatronical Engineering,Beijing Institute of Technology,Beijing 100081,China [2]Beijing Aerospace Automatic Control Institute,Beijing 100854,China [3]School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第4期791-803,共13页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61803357)。

摘　　要：The traditional guidance law only guarantees the accuracy of attacking a target. However, the look angle and acceleration constraints are indispensable in applications. A new adaptive three-dimensional proportional navigation(PN) guidance law is proposed based on convex optimization. Decomposition of the three-dimensional space is carried out to establish threedimensional kinematic engagements. The constraints and the performance index are disposed by using the convex optimization method. PN guidance gains can be obtained by solving the optimization problem. This solution is more rapid and programmatic than the traditional method and provides a foundation for future online guidance methods, which is of great value for engineering applications.

关 键 词：proportional navigation(PN) adaptive guidance law three-dimensional space second-order cone programming(SOCP) convex optimal control 

分 类 号：V448[航空宇航科学与技术—飞行器设计]