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微小型机器人嵌入式自驾仪设计
引用本文:王松,李新军,梁建宏,蒲立.微小型机器人嵌入式自驾仪设计[J].北京航空航天大学学报,2005,31(7):775-779.
作者姓名:王松  李新军  梁建宏  蒲立
作者单位:1. 北京航空航天大学 机械工程及自动化学院, 北京 100083;
2. 北京航空航天大学 无人驾驶飞行器设计研究所, 北京 100083
基金项目:国防科技应用基础研究基金,国家高技术研究发展计划(863计划)
摘    要:分析了不同类型微小型机器人对自驾系统的共性需求.提出了一种基于ARM(Advanced RISC Microprocessor)和μCOS-II的嵌入式自驾仪设计方法,给出了从需求分析、功能设计、结构设计、硬件设计、软件设计的系统设计过程,并分别从上述各方面对自驾仪的通用性进行了探讨.层次化的体系结构、模块化的硬件、结构化的软件以及无精确模型的模糊控制方法使得设计出的自驾仪经过简单的硬件调整和软件定制,就能适用于仿生机器鱼、履带机器人、小型无人机等不同的微小型机器人平台.经过多次试验验证,该自驾仪性能稳定、具有一定的通用性,弥补了专用自驾仪在多元异构群体中应用时的成本高、协调控制困难、兼容性和维护性差等不足.

关 键 词:嵌入式系统  模糊控制  自驾仪  微小型机器人  通用性
文章编号:1001-5965(2005)07-0775-05
收稿时间:2004-10-30
修稿时间:2004年10月30日

Embedded autopilot design of micro-robots
Wang Song,Li Xinjun,Liang Jianhong,PU Li.Embedded autopilot design of micro-robots[J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(7):775-779.
Authors:Wang Song  Li Xinjun  Liang Jianhong  PU Li
Institution:1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2. Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:The autopilot requirement of different micro-robots was analyzed. A method of autopilot based on advanced RISC microprocessor (ARM) and COS-II was put forward. The design process was presented from requirement analysis, function design, system structure, hardware design and software design, to control algorithm, and the autopilot for all-purpose was discussed from each aspect above. The autopilot adopted hiberarchy structure, modular hardware and structured software, and fuzzy control method needless of accurate model, which made it easy to apply to bionic fish robot, tracked mobile robot and micro unmanned vehicle after simple hardware adjustment and software customization. The autopilot was validated that it has the advantage of stabilization and currency through experiments. The autopilot makes up for the shortage of high cost, control difficulty and bad compatibility and maintenance while it was applied to the multiple and isomeric micro-robots swarm.
Keywords:embedded systems  fuzzy control  autopilot  micro-robots  generalization
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