Reentry guidance with constrained impact for hypersonic weapon by novel particle swarm optimization

被引:27
作者
Zhou, Hongyu [1 ]
Wang, Xiaogang [1 ]
Bai, Bing [2 ]
Cui, Naigang [1 ]
机构
[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Heilongjiang, Peoples R China
[2] China Acad Launch Vehicle Technol, Beijing 100076, Peoples R China
关键词
Reentry guidance; Constrained impact; Trajectory optimization; Proportional navigation guidance; Particle swarm optimization; MUTATION OPERATOR; PSO; TRAJECTORIES; ALGORITHM; TARGETS; LAW;
D O I
10.1016/j.ast.2018.04.024
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The novel reentry guidance law is proposed for hypersonic weapons to strike a stationary ground target at a constrained impact angle. This guidance law is based on proportional navigation guidance (PNG) whose gain is set as the function of range-to-go. To be resistant to disturbances and adaptive to various missions, the gain is refreshed in every guidance cycle. To lessen the control effort, the gain is optimized by a novel particle swarm optimization (NPSO) algorithm. NPSO needs a small number of particles for it can convert infeasible particles into feasible ones. Moreover, a mutation mechanism is introduced to accelerate convergence. In addition, there is only one single terminal constraint, that is, the impact angle in the optimization problem, because the terminal position is automatically identified using PNG. Compared with existing guidance laws, the proposed one needs neither complex derivation nor prior assumption. It also takes into consideration the constraints in lateral acceleration and look angle, which are often neglected in PNG-based laws. The adaptability under different scenarios, the robustness under disturbances and the potential for online application are demonstrated by simulation results. Numerical examples also show the superiority of NPSO when compared with the GPOPS. (C) 2018 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:205 / 213
页数:9
相关论文
共 23 条
[11]  
Qin L, 2015, CHIN CONT DECIS CONF, P3556, DOI 10.1109/CCDC.2015.7162539
[12]   Particle Swarm Optimization Applied to Spacecraft Reentry Trajectory [J].
Rahimi, Afshin ;
Kumar, Krishna Dev ;
Alighanbari, Hekmat .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2013, 36 (01) :307-310
[13]   Impact Angle Constrained Guidance Against Nonstationary Nonmaneuvering Targets [J].
Ratnoo, Ashwini ;
Ghose, Debasish .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2010, 33 (01) :269-275
[14]   Low-thrust trajectory design with constrained particle swarm optimization [J].
Shan, Jinjun ;
Ren, Yuan .
AEROSPACE SCIENCE AND TECHNOLOGY, 2014, 36 :114-124
[15]   Onboard generation of three-dimensional constrained entry trajectories [J].
Shen, ZJ ;
Lu, P .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2003, 26 (01) :111-121
[16]   Trajectory planning of free-floating space robot using Particle Swarm Optimization (PSO) [J].
Wang, Mingming ;
Luo, Jianjun ;
Walter, Ulrich .
ACTA ASTRONAUTICA, 2015, 112 :77-88
[17]   Distributed cooperative guidance of multiple anti-ship missiles with arbitrary impact angle constraint [J].
Wang, Xingliang ;
Zhang, Youan ;
Wu, Huali .
AEROSPACE SCIENCE AND TECHNOLOGY, 2015, 46 :299-311
[18]   Impact time control guidance law with field of view constraint [J].
Zhang, Youan ;
Wang, Xingliang ;
Wu, Huali .
AEROSPACE SCIENCE AND TECHNOLOGY, 2014, 39 :361-369
[19]   Binary PSO with mutation operator for feature selection using decision tree applied to spam detection [J].
Zhang, Yudong ;
Wang, Shuihua ;
Phillips, Preetha ;
Ji, Genlin .
KNOWLEDGE-BASED SYSTEMS, 2014, 64 :22-31
[20]   Terminal guidance laws of missile based on ISMC and NDOB with impact angle constraint [J].
Zhang, Zhenxing ;
Li, Shihua ;
Luo, Sheng .
AEROSPACE SCIENCE AND TECHNOLOGY, 2013, 31 (01) :30-41