由USV和UAV组成的异质有袋类机器人系统设计

Yunsheng Fan, Jianlei Ma, Guofeng Wang, Tie-shan Li
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引用次数: 3

摘要

本文提供了异质有袋动物机器人系统的核心思想,并详细介绍了其硬件架构和协作系统结构。这种异构有袋类机器人系统由作为载体的无人水面车辆(USV)和作为乘客的无人飞行器(UAV)组成,设计用于军事任务和其他任务,如环境监测,野生动物跟踪和搜救任务。通过这种组合,协作型有袋类机器人可以利用团队成员的优势,克服自身的局限性,从而从其异质性中获益。建立了无人机姿态控制仿真模型,给出了PID飞行控制器的自适应模糊参数整定规则,实现了控制器参数的在线自整定。仿真结果表明:与传统PID控制器相比,该模糊自适应PID姿态控制算法具有更好的动态响应性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a heterogeneous marsupial robotic system composed of an USV and an UAV
This paper provides both the core ideas of a heterogeneous marsupial robotic System and the details of the practical aspects related to its hardware architecture and cooperative system structure. This heterogeneous marsupial robotic system is composed by an unmanned surface vehicle (USV) that acts as a carrier and an unmanned aerial vehicle (UAV) that acts as a passenger, and it is designed for military tasks and other tasks like environmental monitoring, wild life tracking, and search & rescue missions. Through the combination, the cooperative marsupial robots benefit from their heterogeneity by using the superiority of each team member and overcoming their limitations. Moreover, the attitude control simulation model of the UAV is built, and the self-adaptive fuzzy parameter tuning rules for PID flight controller are given, so as to realize the online self-tuning of the controller parameters. Simulation results show that: compared with the conventional PID controller, this attitude control algorithm of fuzzy self-adaptive PID has a better dynamic response performance.
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