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

机译:固定翼无人飞行器的自触发协同路径跟踪控制

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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:多机器人系统的编队控制可能涉及广泛的机器人间信息交换。本文提出了一种方法,该方法通过使用针对协作路径跟踪(CPF)问题的自触发控制策略来减少编队控制问题中信息交换的频率。特别是,为固定翼无人飞行器开发了一种分散式,自触发的CPF控制器,其中的任务是遵循所需的几何路径并保持所需的编队模式。使用输入到状态稳定性框架,我们在存在基于事件的通信的情况下提供了稳定性和收敛性的保证。提供仿真结果以说明所开发策略的有效性。结果表明,与传统的时间触发(定期)实施相比,自触发方法导致信息交换显着减少。

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