摘要
针对飞行控制日趋严格的性能要求以及传统控制迭代工作量大的问题,研究一种基于保护映射理论的高超声速飞行器控制参数自适应整定算法.首先分析常见飞行品质参数与控制系统零极点分布间的关系;然后根据保护映射理论建立飞行品质参数与飞行器控制参数间的映射关系;最终给出基于保护映射理论的控制参数自适应整定算法,实现满足飞行品质要求的控制参数设计.该算法可根据任意给定的初始控制器参数,实现满足飞行品质要求的控制参数自动迭代,大大降低了控制系统设计反复迭代的工作量.以X 43A飞行器为研究对象进行仿真验证,仿真结果表明设计的控制参数能保障系统的动态性能和跟踪效果.
In response to the increasingly stringent performance requirements of flight control and the large iterative workload of conventional control design,this paper investigates an adaptive tuning algorithm for hypersonic vehicle control parameters based on guardian maps theory.Firstly,the relationship between common flight quality parameters and zero-pole distribution of control system is analyzed;then,according to the guardian maps theory,the mapping relationship between flight quality parameters and vehicle control parameters is established;finally,the adaptive adjustment algorithm of control parameters based on the guardian maps theory is proposed,which realizes the design of control parameters that meet the flying quality requirements.The algorithm can realize automatic iteration of control parameters to meet the flying quality requirements according to any given initial controller parameters,which greatly reduces the workload of repeated iterations of control system design.The simulation results show that the designed control parameters can guarantee the dynamic performance and tracking effect of the system.
作者
万慧雯
黄家才
曹瑞
周雯超
李毅博
WAN Huiwen;HUANG Jiacai;CAO Rui;ZHOU Wenchao;LI Yibo(Industrial Center/School of Innovation and Entrepreneurship,Nanjing Institute of Technology,Nanjing 211167,China;College of Automation Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing 211006,China)
出处
《南京工程学院学报(自然科学版)》
2023年第1期1-8,共8页
Journal of Nanjing Institute of Technology(Natural Science Edition)
基金
国家自然科学基金青年基金项目(52107048)
江苏省高等学校自然科学研究重大项目(20KJA510007)
南京航空航天大学博士生跨学科创新基金项目(KXKCXJJ202008)
南京工程学院校级科研基金青年科学基金项目(QKJ202001)。