Synergistic Path Planning for Multiple Vehicles Based on an Improved Particle Swarm Optimization Method

被引：0

作者：

Zhou H.-Y. ^{[1
]}

Wang X.-G. ^{[1
]}

Shan Y.-Z. ^{[2
]}

Zhao Y.-L. ^{[3
]}

Cui N.-G. ^{[1
]}

机构：

[1] School of Astronautics, Harbin Institute of Technology, Harbin

[2] State-owned Factory No. 624, Harbin

[3] Beijing Aerocim Technology Co., Ltd., Beijing

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2022年 / 48卷 / 11期

基金：

中国博士后科学基金;

关键词：

Hypersonic vehicle; particle swarm optimization (PSO); reinforcement learning; synergistic path planning;

D O I：

10.16383/j.aas.c190865

中图分类号：

学科分类号：

摘要：

This paper researches the synergistic flight for multiple hypersonic vehicles. The synergistic planning problem is formulated in view of the nonlinear coupling among aerodynamics, the performance index, and the path constraints. Then, the gliding profile, which naturally satisfies the terminal constraints and decreases the constraints, is proposed. Meanwhile, accurate solutions are deduced in the glide phase, so path constraints and the performance index can be quickly derived. An improved particle swarm optimization (PSO) method is developed by building the network between synergistic requirements and the optimal inertial weight in PSO based on a reinforcement learning method. Thus, the efficiency online computational efficiency can be largely improved. Numerical simulation results indicate the efficiency of the proposed method. © 2022 Science Press. All rights reserved.

引用

页码：2670 / 2676

页数：6

共 19 条

[1] Wang Ying, Min Chang-Wan, Liu Xiu-Ming, Liu Quan-Jun, Wang Guan-Yu, Study on lateral-directional stable design of HTV-2 like vehicle, Journal of Astronautics, 38, 6, pp. 583-589, (2017)
[2] Li J, He M, Li X P, Zhang C F., Multi-physics modeling of electromagnetic wave-hypersonic vehicle interactions under high-power microwave illumination: 2D case, IEEE Transactions on Antennas and Propagation, 66, 7, pp. 3653-3664, (2018)
[3] Borg M P, Kimmel R., Ground test of transition for HIFiRE-5b at flight-relevant attitudes, Journal of Spacecraft and Rockets, 55, 6, (2018)
[4] Song Wei, Liang Yi, Wang Yan, Yuan Cheng, Wang Zhu-Xi, Summary of the development of hypersonic technology in 2018, Aerodynamic Missile Journal, 5, pp. 7-12, (2019)
[5] Yang Jin-Long, Lin Xu-Bin, Analysis on Japan high-speed/hypersonic missile plane, Aerodynamic Missile Journal, 409, 1, pp. 27-30, (2019)
[6] Qu F, Sun D, Zuo G., A study of upwind schemes on the laminar hypersonic heating predictions for the reusable space vehicle, Acta Astronautica, 147, pp. 412-420, (2018)
[7] Jia X, Wu S T, Wen Y M, Yao Z., A distributed decision method for missiles autonomous formation based on potential game, Journal of Systems Engineering and Electronics, 30, 4, pp. 738-748, (2019)
[8] Sun Chang-Yin, Mu Zhao-Xu, Yu Yao, Some control problems for near space hypersonic vehicles, Acta Automatica Sinica, 39, 11, pp. 1901-1913, (2013)
[9] Liao Y X, Li H F, Bao W M., Three-dimensional diving guidance for hypersonic gliding vehicle via integrated design of FTNDO and AMSTSMC, IEEE Transactions on Industrial Electronics, 65, 3, pp. 2704-2715, (2018)
[10] Wang Fang, Lin Tao, Zhang Ke, Cui Nai-Gang, Application of multi-phase Gauss pseudospectral method in optimal control for formation, Journal of Astronautics, 36, 11, pp. 1262-1269, (2015)

← 1 2 →