Design and test of wireless charging module for inspection robot in chicken farm

doi:10.12398/j.issn.2096-7217.2022.02.006

Abstract

Abstract: Inspection robot of large-scale chicken farms inspects the health of chickens, and efficient and reliable charging modules can ensure continuous inspection. Existing wireless charging technology has many disadvantages, such as large size, cumbersome docking procedures and low efficiency. In order to overcome the disadvantages, a wireless charging module which could safely and quickly perform wireless automatic induction charging was proposed. The docking between the inspection robot and the charging pile was divided into two processes: remote docking and short-distance docking. Remote docking was completed by establishing a virtual map of the broiler house on the basis of SLAM (simultaneous localization and mapping) algorithm. In this case, the inspection robot could determine optimal path to the vicinity of the charging pile based on A*(A-star) algorithms. Short-distance docking combined infra-red with ultrasonic sensors for precise navigation so that the initial docking was completed. Then the robot was engaged with the mechanical structure of the charging pile for further precise docking. Experimental tests were carried out 120 times to gauge the accuracy of the docking between the charging pile and the inspection robot. The test results clearly demonstrated that the inspection robot was able to determine optimal path to the target location in the specified position. The accuracy of the docking could reach 100% by mechanical construction of the charging pile. The electromagnetic induction coil could fully charge a 4800 mAh lithium battery from 10.8 V to 12.6 V in 160 min. The process of charging is stable and safe.

Key words: inspection robot, sport control, SLAM technology, automatic wireless charging

CLC Number:

Bai Yungang, Zhu Zhongzheng, Hou Yingyong, Zhou Lichun, Xiao Maohua, Zou Xiuguo. Design and test of wireless charging module for inspection robot in chicken farm[J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2022, 3(2): 45-52.

References

［1］孟超英, 王佳, 陈红茜, 等. 基于分布式对象的蛋鸡舍设施养殖数字化智能监测系统［J］. 农业机械学报, 2017, 48(10): 292-299.
Meng Chaoying, Wang Jia, Chen Hongqian, et al. Intelligent monitoring system based on distributed object for layer house ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(10): 292-299.
［2］Hu Y A, Cheng H F, Tao S. Environmental and human health challenges of industrial livestock and poultry farming in China and their mitigation ［J］. Environment International, 2017, 107(10): 111-130.
［3］季宇寒, 李寒, 张漫, 等. 基于激光雷达的巡检机器人导航系统研究［J］. 农业机械学报, 2018, 49(2): 14-21.
Ji Yuhan, Li Han, Zhang Man, et al. Navigation system for inspection robot based on LiDAR ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(2): 14-21.
［4］Marincic A, Budimir D. Tesla's contribution to radiowave propagation ［C］// 5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No. 01EX517). IEEE, 2001, 1: 327-331.
［5］Brown W C. The history of wireless power transmission ［J］. Solar Energy, 1996, 56(1): 3-21.
［6］Ahmadian N, Lim G J, Torabbeigi M, et al. Smart border patrol using drones and wireless charging system under budget limitation ［J］. Computers & Industrial Engineering, 2022, 164: 107891.
［7］Mubarak M, Uster H, Abdelghany K, et al. Strategic network design and analysis for in-motion wireless charging of electric vehicles ［J］. Transportation Research Part E: Logistics and Transportation Review, 2021, 145: 102179.
［8］Wang L, Xu Y H, Xu J. Realization of wireless charging in intelligent greenhouse with orthogonal coil system uniform magnetic field ［J］. Computers and Electronics in Agriculture, 2020, 175: 105524.
［9］Nourbakhsh I R, Bobenage J, Grange S, et al. An affective mobile robot educator with a full-time job ［J］. Artificial Intelligence, 1999, 114(1-2): 95-124.
［10］Junaid A B, Lee Y, Kim Y. Design and implementation of autonomous wireless charging station for rotary-wing UAVs ［J］. Aerospace Science and Technology, 2016, 54: 253-266.
［11］万畅, 谭彧, 郑永军, 等. 饲草推送机器人磁条导航自动充电研究［J］. 农业机械学报, 2018, 49(S1): 1-7, 41.
Wan Chang, Tan Yu, Zheng Yongjun, et al. Automatic charging of forage pushing robot by magnetic stripe navigation ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(S1): 1-7, 41.
［12］吕梦圆, 翟丽, 胡桂兴. 电动汽车双边LCC无线充电系统传导电磁干扰［J/OL］. 北京航空航天大学学报: 1-11［2022-09-20］. DOI:10.13700/j.bh.1001-5965.2021.0191.
Lü Mengyuan, Zhai Li, Hu Guixing. Conducted electromagnetic interference of wireless charging system with bilateral LCC of electric vehicle ［J］. Journal of Beijing University of Aeronautics and Astronautics: 1-11［2022-9-20］.DOI: 10.13700/j.bh.1001-5965.2021.0191.
［13］Niu S Y, Xu H Q, Sun Z R, et al. The state-of-the-arts of wireless electric vehicle charging via magnetic resonance: principles, standards and core technologies ［J］. Renewable and Sustainable Energy Reviews, 2019, 114: 109302.
［14］Wang Z X, Shi Y, Ma X X, et al. A coreless hybrid magnetic coupling coil structure for dynamic wireless power charging system ［J］. Energy Reports, 2020, 6: 843-850.
［15］麦瑞坤, 张友源, 陈阳, 等. 可配置充电电流的变结构无线充电系统研究［J］. 中国电机工程学报, 2018, 38(11): 3335-3343.
Mai Ruikun, Zhang Youyuan, Chen Yang, et al. Study on IPT charging systems with hybrid topology for configurable charge currents ［J］. Proceedings of the CSEE, 2018, 38(11): 3335-3343.
［16］周风余, 万方, 焦建成, 等. 家庭陪护机器人自主充电系统研究与设计［J］. 山东大学学报(工学版), 2019, 49(1): 55-65, 74.
Zhou Fengyu, Wan Fang, Jiao Jiancheng, et al. Design for autonomous charging system of family companion robot ［J］. Journal of Shandong University (Engineering Science Edition), 2019, 49(1): 55-65, 74.
［17］吴功平, 杨智勇, 王伟, 等. 巡检机器人自主充电对接控制方法［J］. 哈尔滨工业大学学报, 2016, 48(7): 123-129.〖JP〗
Wu Gongping, Yang Zhiyong, Wang Wei, et al. On auto-docking charging control method for the inspection robot ［J］. Journal of Harbin Institute of Technology, 2016, 48(7): 123-129.
［18］陈劭, 郭宇翔, 高天啸, 等. 移动机器人RGB-D视觉SLAM算法［J］. 农业机械学报, 2018, 49(10): 38-45.
Chen Shao, Guo Yuxiang, Gao Tianxiao, et al. RGB-D visual SLAM algorithm for mobile robot ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(10): 38-45.
［19］Fan G R, Wang G. Vision-based autonomous docking and re-charging system for mobile robot in warehouse environment ［C］// 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE). IEEE, 2017: 79-83.
［20］Wen J P, Zhao D, Zhang C W. An overview of electricity powered vehicles: Lithium-ion battery energy storage density and energy conversion efficiency ［J］. Renewable Energy, 2020, 162: 1629-1648.
［21］Skorvaga J, Pavelek M. Design and evaluation of low power wireless charger concept ［J］. Transportation Research Procedia, 2021, 55: 890-895.
［22］Mohamed N, Aymen F, Alqarni M, et al. A new wireless charging system for electric vehicles using two receiver coils ［J］. Ain Shams Engineering Journal, 2022, 13(2): 101569.
［23］刘正, 黄之峰, 章云. 面向移动机器人的无线能量传输线圈自定位系统［J］. 仪表技术与传感器, 2020(3): 54-57, 88.
Liu Zheng, Huang Zhifeng, Zhang Yun. Wireless energy transmission coils self-positioning system for mobile ［J］. Robot Instrument Technique and Sensor, 2020(3): 54-57, 88.
［24］Jang Y, Jovanovic M M. A contactless electrical energy transmission system for portable-telephone battery chargers ［J］. IEEE Transactions on Industrial Electronics, 2003, 50(3): 520-527.
［25］Peng Y, Yang L Z, Ju X Y, et al. A comprehensive investigation on the thermal and toxic hazards of large format lithium-ion batteries with LiFePO4 cathode ［J］. Journal of Hazardous Materials, 2020, 381: 120916.
［26］胡清琮, 陈琛, 王菁, 等. 基于恒流/恒压方式的锂电池充电保护芯片设计［J］. 浙江大学学报(工学版), 2008(4): 632-635.
Hu Qingcong, Chen Chen, Wang Jing, et al. Design and implementation of Li-ion battery charger IC based on constant-current/constant voltage approach ［J］. Journal of Zhejiang University (Engineering Science Edition), 2008(4): 632-635.

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