摘要
无人机在现代战争中扮演重要角色,广泛用于侦察、监视战区环境等任务,留空时间需求日益增长,为了增加航时而不返回基地加油,亟需开展无人机自动空中加油技术的研究,根据空中加油的特点,深入研究了空中加油自动飞行控制系统方案,提出了受油机分阶段姿态和位置控制策略,设计了满足自动空中加油控制要求、面向工程的多模态、高精度、高抗扰飞行控制律,并用粒子群算法进行了参数优化。此外利用Matlab/Simulink搭建仿真平台对空中加油阶段受油机扰动运动进行了仿真验证。仿真结果表明,该多模态控制律可以满足自动空中加油的任务要求,控制精度较高,受油机的抗干扰能力较强。
Unmanned Air Vehicles are playing an important role in today’s wars. They can locate time critical targets and report enemy’s positions to their base comannders. One way to improve the effectiveness of unmanned aerial vehicles (UAVs) is to add the ability of aerial refueling. This would extend the range of the UAV, lengthen the endurance, and increase the payload capacity of the UAV. This paper describes the automated aerial refueling control system according to different refueling phrases. A flight control law with multi modes, high precision and high anti-interference ability was designed and the particle swarm optimization(PSO) was used to refine their parameters. Computer simulations of the receiver/ wake vortex encounters in aerial refueling is built by Matlab/Simulink. The results show that our flight control system can meet the requirement of automated aerial refueling, and the ability of UAV’s anti-interference is strong.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2010年第A01期126-130,共5页
Journal of System Simulation
基金
预研基金项目
关键词
无人机
自动空中加油
飞行控制
粒子群算法
UAV
automated aerial refueling
flight control
particle swarm optimization(PSO)