|本期目录/Table of Contents|

[1]张 川,文小玲*,喻 盈,等.一种双关节机器鱼的设计与实现[J].武汉工程大学学报,2021,43(05):573-579.[doi:10.19843/j.cnki.CN42-1779/TQ.202107004]
 ZHANG Chuan,WEN Xiaoling*,YU Ying,et al.Composition of Bionic Robotic Fish[J].Journal of Wuhan Institute of Technology,2021,43(05):573-579.[doi:10.19843/j.cnki.CN42-1779/TQ.202107004]
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一种双关节机器鱼的设计与实现(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
43
期数:
2021年05期
页码:
573-579
栏目:
机电与信息工程
出版日期:
2021-10-31

文章信息/Info

Title:
Composition of Bionic Robotic Fish
文章编号:
1674 - 2869(2021)05 - 0573 - 07
作者:
张 川文小玲*喻 盈黄晨华
武汉工程大学电气信息学院,湖北 武汉 430205
Author(s):
ZHANG Chuan WEN Xiaoling*YU Ying HUANG Chenhua
School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China
关键词:
仿生机器鱼运动控制避障模糊控制扰动
Keywords:
bionic robotic fishmotion control obstacle avoidance fuzzy control disturbance
分类号:
TP242;TP249
DOI:
10.19843/j.cnki.CN42-1779/TQ.202107004
文献标志码:
A
摘要:
针对水产养殖和水环境保护领域对移动式水质监测的需求,本文设计了一种双关节仿生机器鱼。通过分析机器鱼的游动和转向规律,建立了双关节机器鱼的动力学模型,提出了基于模糊控制的复合避障算法、并通过仿真验证了其可行性。选择双关节尾鳍推进方式,完成了机器鱼的机械结构设计;以STM32单片机为控制核心、舵机作为运动执行元件、5个红外测距传感器合理布局实现避障、Lora无线传输方式实现机器鱼与主机的通信,完成了机器鱼控制系统的设计。最后,搭载水质传感器在实际水域对该机器鱼进行了应用测试,测试结果表明机器鱼可以成功避开障碍物并完成水质参数的采集任务、数据准确性高且具有低扰动性。
Abstract:
Aiming at the current demand for mobile water quality monitoring in the fields of aquaculture and water environmental protection, a double-joint bionic robotic fish was designed. A dynamic mathematical model of the double-joint robotic fish was established by analyzing the swimming and turning motion rules of the robotic fish. Furthermore, a compound obstacle avoidance algorithm based on fuzzy control was proposed, and its feasibility was verified by simulation. The mechanical structure of the robotic fish was designed by double-joint caudal fin propulsion method; and the design of the robotic fish control system mainly contains the following parts, including the STM32 single-chip microcomputer and the steering gear were used as the control core and the motion executive element, respectively; 5 infrared ranging sensors were reasonably arranged to avoid obstacles, the Lora wireless transmission model was used to realize the communication between robotic fish and the host computer. Finally, the bionic robotic fish equipped with the water quality sensors was tested in the actual environment. The testing results have shown that the robotic fish can successfully avoid obstacles and complete the task of collecting water quality parameters with high accuracy and low disturbance.

参考文献/References:

[1] 熊有伦,李文龙,陈文斌,等. 机器人学:建模、控制与视觉[M]. 武汉:华中科技大学出版社,2018. [2] 程航,喻九阳,戴耀南,等. 油-气管道检测机器人技术现状及展望[J] . 武汉工程大学学报,2021,43(3):324-333. [3] BARRETT D S. The design of a flexible hull undersea vehicle propelled by an oscillating foil[D]. Boston:Mssachusetts Institute of Technology,1994. [4] ZHANG F,WANG J,HON J,et al.Gliding robotic fish for mobile sampling of aquatic environments[C]// IEEE International Conference on Networking,Sensing and Control IEEE, San Francisco:IEEE Los Alanitos, 2014:167-172. [5] XU J X,REN Q Y,GAO W C,et al.Mimicry of fish swimming patterns in a robotic fish[C]// 2012 IEEE International Symposium on Industrial Electronics.San Francisco:IEEE Los Alanitos, 2012:1274-1279. [6] PALMANI D,RAKESH K S,MANIGANDAN N S.Design, modeling,and control of biomimetic fish robot.a review[J]. Journal of Bionic Engineering,2019,16(6):967-993. [7] SFAKIOTAKIS M,LANE D M,DAVIES J.Review of fish swimming modes for aquatic locomotion[J]. IEEE Journal of Oceanic Engineering,1999,24(2):237-252. [8] HUANG Z, ZHU D, BING S. A multi-AUV cooperative hunting method in 3-D underwater environment with obstacle[J]. Engineering Applications of Artificial Inte-lligence,2016,50:192-200. [9] WANG M,ZHANG Y L,DONG H F,et al. Trajectory tracking control of a bionic robotic fish based on iterative learning[J]. Sciece China Infofrmation Sciences,2020,63(7) : 1-9. [10] 王耀威,纪志坚,翟海川. 仿生机器鱼运动控制方法综述[J]. 智能系统学报,2014,9(3):276-284. [11] 张倩. 仿生机器鱼的运动行为分析及路径规划研究[D]. 西宁:青海大学. 2016. [12] 赵士奇. 仿鱼尾鳍推进系统实验研究[D]. 哈尔滨:哈尔滨工程大学,2008. [13] 王扬威,于凯,闫勇程. BCF推进模式仿生机器鱼的研究现状与发展趋势[J]. 微特电机,2016,44(1):75-80,89. [14] 林海. 仿生机器鱼机构设计及力学分析[D]. 西宁:青海大学. 2015. [15] 蒋定立. 基于GIM仿生学习的多关节自主避障机器鱼研究[D]. 重庆:重庆邮电大学,2016.

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备注/Memo

备注/Memo:
收稿日期:2021-07-03基金项目:武汉工程大学2020年省级大学生创新创业训练计划项目(S202010490019)作者简介:张 川,本科生。 E-mail:627529211@qq.com*通讯作者:文小玲,硕士,教授。E-mail:wxl@wit.edu.cn引文格式:张川,文小玲,喻盈,等. 一种双关节机器鱼的设计与实现[J]. 武汉工程大学学报,2021,43(5):573-579.
更新日期/Last Update: 2021-10-27