Fruit fly optimization algorithm with escape predation mechanism based direct lift control for automatic carrier landing

控制理论(社会学) 电梯 人口 Lift(数据挖掘) 计算机科学 模拟 最优控制 解耦(概率) 工程类 控制工程 人工智能 数学优化 控制(管理) 数学 航空航天工程 数据挖掘 社会学 人口学
作者
Xiangyin Zhang,Chengling Liu,Jiaxing Wang,Xiuzhi Li
出处
期刊:Proceedings Of The Institution Of Mechanical Engineers, Part G: Journal Of Aerospace Engineering [SAGE Publishing]
卷期号:238 (12): 1237-1250
标识
DOI:10.1177/09544100241262557
摘要

This paper designs a practical automatic carrier landing system (ACLS) that utilizes direct lift control (DLC) technology, and the controller parameters are optimized by using the enhanced fruit fly optimization algorithm with escape predation mechanism (EPFOA). The designed ACLS comprises the control channels of elevator, flap and throttle. The coordinated action of the elevator and flap can generate direct lift, enabling the aircraft to approach the desired glide path quickly and accurately. A decoupling module is designed to enhance the attitude stability of the aircraft during landing, thereby increase the success rate of landing. In order to achieve the better control effectiveness, the EPFOA is proposed to optimize the controller parameters of the DLC-based ACLS. Inspired by the predator-escape behavior between dingoes and sheep, EPFOA divides the whole fruit fly swarm into three categories: discovered escaping fruit fly (DEF), escaping fruit fly (EF) and predator fruit fly (PF). The PFs can ensure the population of convergence, while the DEFs and EFs can preserve the diversity of the population and avoid falling into local optima. Experiments are conducted in various cases, and the designed DLC-ACLS demonstrates superior ability in flight path adjustment and attitude control compared to the traditional F/A-18 ACLS in landing control. Additionally, the proposed EPFOA shows superior performance compared to other optimization algorithms.
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