电光与控制, 2020, 27 (9): 1, 网络出版: 2020-12-25
无人机软管式自主空中加油精准对接控制
Precise Docking Control for UAV Autonomous Aerial Refueling
自主空中加油 对接控制 抗扰动控制 深度学习 autonomous air refueling docking control anti-disturbance control deep learning
摘要
对项目组在自主空中加油对接控制方面的研究成果进行了回顾。首先介绍了使用深度学习这一具有强非线性表征能力的回归技术结合CFD和高阶复杂模型的仿真数据, 所建立的受油机前扰波和面向控制的锥套预测模型。在此基础上, 介绍了借鉴空中加油人工驾驶对接的优点, 创新提出的反步高阶滑模抗扰动对接控制器、平动/转动综合的抗扰动对接控制器以及直瞄/变长度预瞄复合引导对接控制器。仿真结果表明, 所提方法显著提高了自主空中加油对接精度。
Abstract
Research achievements of our project team on precision docking control for probe-and-drogue autonomous aerial refueling of UAV are reviewed. First, the bow wave model of the receiver and the control-oriented drogue motion prediction model are introduced, which are established by deep learning method combined with CFD and high-order complex model simulation data. Then, through in-depth analysis of the successful experience of manned aerial refueling, the backstepping high-order sliding mode anti-disturbance docking controller, the translation and rotation combined docking controller and the direct/preview composite guidance docking controller are creatively put forward. Simulation results show that the proposed method greatly improves the docking accuracy of the autonomous aerial refueling.
王宏伦, 刘一恒, 苏子康. 无人机软管式自主空中加油精准对接控制[J]. 电光与控制, 2020, 27(9): 1. 王宏伦, 刘一恒, 苏子康. Precise Docking Control for UAV Autonomous Aerial Refueling[J]. Electronics Optics & Control, 2020, 27(9): 1.