摘要
高超声速飞行器飞/发一体化系统具有气流一体化、结构一体化等强飞/发耦合特性,为控制系统的设计带来一定的挑战。针对高超声速飞行器控制系统设计问题,首先在建立高超飞行器飞/发一体化系统模型的基础上,设计了相应的纵向控制律,提出了一种新型的探索群策略鸽群优化算法,并将其应用于高超飞行器飞/发一体化控制参数整定。最后,通过探索群鸽群优化算法对控制参数进行优化,并与基本鸽群优化、粒子群优化进行了对比仿真分析,验证了所提探索群策略鸽群优化算法的可行性和优越性。
There are strong coupling characteristics between hypersonic aerial vehicle and engine in the integrated system,such as air flow integration and structure integration,which brings too much challenges to the design of control system.Aiming at the challenge of the design of hypersonic aerial vehicle control system,an integrated flight/launch system model of hypersonic vehicle is established and corresponding longitudinal control law is also designed for this system.An exploring swarm strategy based pigeon inspired optimization algorithm is proposed to overcome the difficulties in debugging the parameters integrated control system.Finally,the control parameters are optimized by the exploring swarm strategy based pigeon inspired optimization algorithm,which is compared with the basic pigeon inspired optimization and particle swarm optimization,verifying the feasibility and superiority of the proposed exploring swarm strategy based pigeon inspired optimization algorithm.
作者
向宏程
邓亦敏
段海滨
XIANG Hongcheng;DENG Yimin;DUAN Haibin(School of Automation Science and Electrical Engineering,Beihang University,Beijing 100083,China)
出处
《智能系统学报》
CSCD
北大核心
2022年第4期849-855,共7页
CAAI Transactions on Intelligent Systems
基金
国家自然科学基金项目(U20B2071,U19B2033).
关键词
高超声速飞行器
飞/发一体化控制
鸽群优化
探索群
高度控制
速度控制
参数整定
时间加权积分绝对误差
hypersonic aerial vehicle
integrated control of vehicle and engine
pigeon inspired optimization
exploring swarm
altitude control
velocity control
parameter setting
integral time-weighted absolute error
