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出 处:《现代雷达》2014年第9期49-53,共5页Modern Radar
基 金:国家自然科学基金资助项目(61374019;11173010)
摘 要:为缓解无人飞艇天线跟踪系统中的时间延迟对系统指向性能的影响,分析了粒子滤波预测在无人飞艇天线跟踪系统中的应用。天线跟踪系统应用粒子滤波对时延阶段内的飞艇运动状态进行预测,并由位置环、速度环和电流环组成的伺服随动单元在飞艇坐标系下对飞艇天线的对地姿态预测角进行伺服控制,以调节飞艇天线精确地指向地面站。文中对比仿真了基于预测滤波和延迟观测量的飞艇天线跟踪系统对地面站的指向性能。结果表明,基于粒子滤波预测的无人飞艇天线跟踪系统能够避免扩展Kalman滤波算法在非线性估计中的不足,并补偿时间延迟对系统指向精度的影响,有效提高无人飞艇与地面站之间的通信能力。To improve the antenna tracking system performance of the unmanned airship degraded by time delay, the application of the particle filtering in the antenna tracking system of unmanned airship is analyzed. The antenna tracking system applies particle filtering in the airship state prediction for the delayed periods. And then, the three loop servo system including position loop, velocity loop and current loop is exploited to control the attitude prediction signals of the airship antenna towards the earth station under the airship coordinate. Therefore, the attitudes of the airship antenna can be well regulated in real time to aim at the earth station precisely. A numerical simulation indicates that the antenna tracking system based on particle filtering can avoid the drawback of extended Kalman filtering and compensate the performance loss caused by time delay, which effectively improves communication capacity between the unmanned airship and the earth station.
关 键 词:无人飞艇 天线跟踪系统 时延补偿 粒子滤波 三环伺服控制
分 类 号:V274[航空宇航科学与技术—飞行器设计]
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