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Self-triggered cooperative path following control of fixed wing Unmanned Aerial Vehicles

机译:固定翼无人驾驶车辆控制后自动触发的合作途径

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Formation control of multi-robot system may involve extensive inter-robot information exchange. This paper proposes a methodology to reduce the frequency of information exchange in a formation control problem through the use of a self-triggered control strategy for cooperative path following (CPF) problems. In particular, a decentralized, self-triggered CPF controller is developed for fixed-wing Unmanned Aerial Vehicles, where the vehicles are tasked to follow desired geometric paths and keeping a desired formation pattern. Using the Input-to-State Stability framework, we provide guarantees of stability and convergence in the presence of event-based communication. Simulation results are provided to illustrate the efficacy of the developed strategy. It is shown that the self-triggered approach results in significant reduction of information exchange when compared to the conventional timetriggered (periodic) implementation.
机译:多机器人系统的形成控制可能涉及广泛的机器人信息交换。本文提出了一种方法来减少形成控制问题的信息交换频率,通过使用自动控制策略进行合作路径(CPF)问题。特别地,用于分散的自触发的CPF控制器,用于固定翼无人驾驶飞行器,其中车辆被任务遵循所需的几何路径并保持所需的形成图案。使用输入到状态稳定性框架,我们提供了基于事件的通信存在稳定性和融合的保证。提供仿真结果以说明发达策略的功效。结果表明,与传统的时间翘曲(周期性)实施相比,自触发的方法导致信息交换的显着降低。

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