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Formation path control method for group coordination based on fuzzy logic control method

机译:基于模糊逻辑控制方法的组配位形成路径控制方法

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摘要

Unmanned ship is an effective tool for human to exploit the sea. Single unmanned ship has been far from meeting the complex needs of the development of the ocean. But multiple unmanned ships cooperation system could expand the perception scope of individual unmanned ship, and achieve complex tasks. By adopting leader–follower architecture, the formation control scheme is composed of three vehicles. The objective is to synchronize the motion of the flock and show high performances of cooperative control. The controller uses fuzzy control, however, Fuzzy control not only depends on the fuzzy rules of experts, while scaling factors are important parameters that affect the performance of fuzzy control, and scaling factors are usually obtained by trial and error, so it is necessary to find a quick and effective way to adjust the quantization parameters. This paper uses the intelligent algorithm to optimize the entire controller. The simulation results show that follower unmanned ships move to the leader's path quickly. The proposed method has fast response speed wave disturbances with strong robustness.
机译:无人驾驶船是人类利用大海的有效工具。单一无人驾驶船只远非满足海洋发展的复杂需求。但多个无人船舶合作系统可以扩大个人无人船的感知范围,实现复杂的任务。通过采用领导者跟随器架构,地层控制方案由三辆车组成。目的是使羊群的运动同步,并表现出高性能的协作控制。控制器使用模糊控制,但是模糊控制不仅取决于专家的模糊规则,而缩放因素是影响模糊控制性能的重要参数,并且缩放因子通常通过试验和误差获得,因此需要找到一种快速有效的方法来调整量化参数。本文使用智能算法优化整个控制器。仿真结果表明,追随者无人驾驶船舶快速移动到领导者的路径。该方法具有具有强大鲁棒性的快速响应速度波扰动。

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