特邀演讲嘉宾3、4:小型旋翼飞行器的飞行动力学建模、控制运动和任务规划

W. Biao, L. Peng
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引用次数: 0

摘要

无人驾驶飞行器(UAV)是一种配备了必要的数据处理单元、传感器、自动控制和通信系统的飞机。它可以在没有人类飞行员干扰的情况下执行自主飞行任务。据观察,无人机在搜救侦察、环境监测、安保监视等特定任务中发挥着重要作用。它们的移动性和传感能力使它们成为勘探和监测任务的理想平台。挑战在于,他们需要处理各种情况,如意外障碍、碰撞和设备故障。在本次研讨会上,我们的目标是报告无人机系统技术的一些最新研究和发展。重点放在任务管理、运动规划和感知技术上,这些技术能够在混乱和gps拒绝的环境中自主引导、导航和控制无人系统。我们将介绍精确飞行动力学模型的发展,该模型可以在参数整定和性能评估方面有效地辅助飞行控制律设计。在此基础上,介绍了模型分析和控制设计技术。为了解决未知环境下的挑战,我们还将介绍小型旋翼飞机的运动规划技术,该技术可以采用多种方法来制定优化问题。本次研讨会还将讨论涉及逻辑和时间约束的任务规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Invited Speaker 3 & 4: Flight Dynamics Modelling and Control Motion and Task Planning of Small-sized Rotorcraft
An unmanned aerial vehicle (UAV) is an aircraft that is equipped with necessary data processing units, sensors, automatic control, and communications systems. It can perform autonomous flight missions without the interference of a human pilot. It is observed that autonomous aerial vehicles play major roles in certain tasks such as reconnaissance for search and rescue, environment monitoring, and security surveillance. Their mobility and sensing capabilities make them an ideal platform for exploration and monitoring tasks. The challenge is that they need to deal with various situations such as unexpected obstacles, collision and device failures. In this workshop, we aim to report some recent research and development in unmanned aerial systems technologies. Emphases are placed on mission management, motion planning and perception technologies that are capable of autonomously guiding, navigating and controlling unmanned systems in cluttered and GPS-denied environments. We will present the development of accurate flight dynamics models, which can assist flight control law design efficiently in terms of parameter tuning and performance evaluation. Based on the identified models, the model analysis and control design technologies will be introduced. To solve the challenges in unknown environments, we will also present the motion planning technologies for small-size rotorcraft, which can formulate an optimization problem by employing several approaches. Task planning involving logical and temporal constraints will also be covered in this workshop.
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