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Design and experiment of a tracked weeding robot based on model predictive control
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Lijun ZHAO1, Yunfan JIA1, Wenke YIN1, Hua HUANG1, Xiang LI2, Qiang LI1, *
Journal of Intelligent Agricultural Mechanization | 2024, 5(4) : 84 - 94
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Journal of Intelligent Agricultural Mechanization | 2024, 5(4): 84-94
Design and experiment of a tracked weeding robot based on model predictive control
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Lijun ZHAO1, Yunfan JIA1, Wenke YIN1, Hua HUANG1, Xiang LI2, Qiang LI1, *
Affiliations
  • 1.School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China
  • 2.Chongqing Huashidan Agricultural Equipment Manufacturing Co., Ltd., Chongqing 401326, China
Published: 2024-11-15 doi: 10.12398/j.issn.2096-7217.2024.04.006
Outline
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Aiming at the problems of difficult weeding operation, low weeding efficiency and low level of intelligence in orchards in hilly and mountainous areas, a small mountain orchard weeding robot was designed. In order to improve the tracking accuracy of the tracked weeding robot's operation path, the research of tracked weeding robot's path tracking control algorithm was carried out. The ‘inverted triangle swivel structure’ was used to design an imitation floating chassis, which carried a ‘Y-type’ blade assembly for crushing and weeding and powered by an extended-range hybrid power system, and a slope steering control strategy based on model predictive control was proposed to address the problem of large slope steering slippage. The round-trip path planning method was used to plan the full coverage path of the orchard. Combined with BDS positioning and navigation technology and full coverage path planning, the crawler weeding robot was ensured to have high tracking accuracy during operation. The kinematic model of the crawler weeding robot was constructed, and the steering dynamics and control strategy of the crawler weeding robot on the slope were simulated and analyzed in MATLAB software. The simulation results show that the average error of the designed slope steering model is only 0.039 m under the condition of 15°, which demonstrates a good accuracy. Field experiments show that the MPC controller proposed in this paper can effectively improve the path tracking effect under slope steering conditions, and the average error under uphill and downhill conditions is reduced by 51.76%and 63.77%, respectively, compared with the PID controller when the slope angle is 15°. The weeding robot integrated with BeiDou navigation function has an effective weeding rate higher than 97% and can walk normally on a 25° slope. The research results provide a reference for the development of weeding robots in hilly and mountainous areas.

agricultural machinery  /  path planning  /  weeding robot  /  MPC  /  navigation
赵立军, 贾云帆, 殷文科, 黄华, 李想, 李强. 基于模型预测控制的履带式除草机器人设计与试验. 智能化农业装备学报(中英文), 2024 , 5 (4) : 84 -94 . DOI: 10.12398/j.issn.2096-7217.2024.04.006
Lijun ZHAO, Yunfan JIA, Wenke YIN, Hua HUANG, Xiang LI, Qiang LI. Design and experiment of a tracked weeding robot based on model predictive control[J]. Journal of Intelligent Agricultural Mechanization, 2024 , 5 (4) : 84 -94 . DOI: 10.12398/j.issn.2096-7217.2024.04.006
Year 2024 volume 5 Issue 4
30
8
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Article Info
doi: 10.12398/j.issn.2096-7217.2024.04.006
  • Receive Date:2024-08-05
  • Online Date:2026-11-05
  • Published:2024-11-15
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  • Received:2024-08-05
  • Revised:2024-09-23
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Affiliations
    1.School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China
    2.Chongqing Huashidan Agricultural Equipment Manufacturing Co., Ltd., Chongqing 401326, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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