摘要
针对倾转翼飞机过渡段时变、强耦合、非线性等特点,利用基于数据驱动的无模型自适应控制理论设计过渡段飞行控制器,使用粒子群优化算法解决无模型自适应控制器调整参数的问题。仿真结果表明,基于数据驱动的无模型自适应控制器可实现倾转翼飞机过渡段平稳飞行,同时证明了基于数据驱动的无模型自适应控制方法在处理时变、强耦合的非线性系统时具有独特的优势。
According to the characteristics of time-varying,strong coupling and non-linear of the transition section of the tilt-wing aircraft,the model-free adaptive control method based on data-driven is adopted to design a flight controller for the transition section,and the particle swarm optimization algorithm is used to solve the problem of parameter adjustment of the model-free adaptive controller.The research results show that the model-free adaptive control method based on data-driven can realize the smooth mode conversion of tilt-wing aircraft,and also prove that the model-free adaptive control method based on data-driven has its unique advantages in dealing with time-varying and strong coupling non-linear system.
作者
杨龙飞
王琦
王蓉
郑光廷
陈龙胜
Yang Longfei;Wang Qi;Wang Rong;Zheng Guangting;Chen Longsheng(School of Information Engineering,Nanchang Hangkong University,Nanchang 330063,China;School of Aircraft Engineering,Nanchang Hangkong University,Nanchang 330063,China)
出处
《航空兵器》
CSCD
北大核心
2020年第6期74-78,共5页
Aero Weaponry
关键词
倾转翼
数据驱动
无模型自适应
粒子群优化
飞行控制
tilt-wing
data driven
model-free adaptation
particle swarm optimization
flight control
