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From mission planning to flight control of unmanned aerial vehicles: Strategies and implementation tools

机译:从任务计划到无人机的飞行控制:策略和实施工具

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This paper reviews aspects of unmanned aerial vehicle (UAV) autonomy as suggested by the Autonomous Control Logic chart of the U.S. DoD UAV autonomy roadmap; levels of vehicle autonomy addressed through intelligent control practices and a hierarchical/intelligent control architecture are presented for UAVs. Basic modules of the control hierarchy and their enabling technologies are reviewed; of special interest, from an intelligent control perspective, are the middle and high echelons of the hierarchy. Here, mission planning, trajectory generation and vehicle navigation routines are proposed for the highest level. At the middle level, the control role is portrayed by mode transitioning, envelope protection, real-time adaptation and fault detection/control reconfiguration algorithms which are intended to safeguard the UAV's integrity in the event of component failures, extreme operating conditions or external disturbances. The UAV thus exhibits attributes of robustness and operational reliability assuring a satisfactory degree of autonomy. The control technologies are demonstrated through flight testing results.
机译:根据美国DoD UAV自主路线图的自主控制逻辑图,本文回顾了无人机自主(UAV)的各个方面;通过智能控制实践和分层/智能控制体系结构解决了无人机的自动驾驶水平问题。审查了控制层次结构的基本模块及其支持技术;从智能控制的角度来看,特别令人关注的是层次结构的中高层。在这里,任务计划,轨迹生成和车辆导航例程被建议为最高级别。在中间层,控制角色由模式转换,包络保护,实时自适应和故障检测/控制重新配置算法来描绘,这些算法旨在在部件故障,极端操作条件或外部干扰的情况下保护无人机的完整性。因此,无人飞行器具有鲁棒性和操作可靠性的特点,可确保令人满意的自主性。通过飞行测试结果演示了控制技术。

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