中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Control system design for micro AUV based on open source hardware

文献类型:会议论文

作者Wang CG(王晨光)3; Hu ZQ(胡志强)1; Yang Y(杨翊)1; Geng LB(耿令波)1; Wang, Ling2
出版日期2018
会议日期August 11-13, 2018
会议地点Wuyishan, China
关键词Micro AUV Control System Open Source Hardware BeagleBone Black Arduino
页码980-984
英文摘要This paper mainly introduces the the control system of micro AUV based on open source hardware. The control system is the most important part of the AUV and its performance has a direct impact on the stability and reliability of AUV. Due to the small size and limited energy, micro AUV puts more restrictions on the volume and power consumption of the control system. In this paper, we choose the BeagleBone Black, the open source hardware, as the main controller, the rich peripheral interface of it facilitates data acquisition and centralized processing of the vehicle. Arduino, another type of open source hardware, is used as the node controller of the control system. Compared with the traditional hardware design, this architecture has the advantages of small volume, low power consumption, low cost, short period of development and maintenance, and it also had good performance in data processing and real-time control. The experimental results showed that the control system based on this architecture run effectively.
产权排序2
会议录Proceeding of the 2018 IEEE International Conference on Information and Automation
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-8069-8
源URL[http://ir.sia.cn/handle/173321/25635]  
专题海洋机器人卓越创新中心
通讯作者Wang CG(王晨光)
作者单位1.Department of Ocean Robotics, Shenyang Institute of Automation, Shenyang, Liaoning Province, China
2.Department of Electric Automation, Shenyang Ligong University, Shenyang, Liaoning Province, China
3.Department of Control Theory and Engineering, Shenyang Ligong University, Shenyang, Liaoning Province, China
推荐引用方式
GB/T 7714
Wang CG,Hu ZQ,Yang Y,et al. Control system design for micro AUV based on open source hardware[C]. 见:. Wuyishan, China. August 11-13, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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