Intelligent Optimal Pulse-Jet Control for Dual-Spin Projectiles

被引：0
|
作者：
Yang, Zhen [1 ]
Fu, Jian [1 ]
Wang, Liangming [1 ]
Chen, Zhi [2 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Energy & Power Engn, Nanjing 210094, Peoples R China
[2] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国博士后科学基金; 美国国家科学基金会;
关键词：
Dual-Spin Projectile; Impulse Correction; Particle Swarm Optimization; BP Neural Network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For the lateral pulse-jet control problem of dual-spin projectiles, an intelligent optimal pulse-jet control strategy is proposed with 4-DOF impact point theory, BP neural network method and improved particle swarm optimization (IPSO) algorithm. The function of BP networks is designed to fit the control parameters and the impulse correction capability. And IPSO algorithm is utilized to deal with the optimization problem built by previous BP networks. Finally, numerical simulations are carried out to verify the effectiveness of the control system.
引用
收藏
页码：7639 / 7644
页数：6
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