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Design and Test of Anti-instability System of Hilly and Mountain Track Agricultural Machinery Transfer Platform
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Maohua XIAO1, Jiachen DING1, Yejun ZHU1, Wentao KE1, Chenshuo XIE1, Jiabo WANG2, Haoqi SHI3
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 170 - 179
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Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 170-179
• Special Column of Key Technologies for Intelligent Agricultural Power Equipment •
Design and Test of Anti-instability System of Hilly and Mountain Track Agricultural Machinery Transfer Platform
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Maohua XIAO1, Jiachen DING1, Yejun ZHU1, Wentao KE1, Chenshuo XIE1, Jiabo WANG2, Haoqi SHI3
Affiliations
  • 1.College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
  • 2.Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang 212400, China
  • 3.China Europe Engineering College, Shanghai University, Shanghai 200444, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.015
Outline
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Hilly and mountainous regions are characterized by complex terrain and agricultural machinery with high centers of gravity, which often leads to instability and rollover risks during rail transport operations. To address this challenge, a hydraulic automatic leveling anti-instability system for a mountain rail transport platform was proposed. The system integrated an ADXL345 triaxial accelerometer for real-time attitude monitoring and employed a particle swarm optimization fuzzy PID (PSO Fuzzy-PID) controller, using the platform's Z-axis tilt angle as the feedback variable. A simulation model was established in Simulink to compare the performance of conventional PID, fuzzy PID, and PSO Fuzzy-PID controllers. Simulation results demonstrated that the PSO Fuzzy-PID controller achieved a rapid response time of 0.181 s with zero overshoot, and outperformed conventional PID and fuzzy PID controllers in terms of adjustment time, stability, and overall dynamic response. Static experimental tests were conducted under track inclinations of 4°, 7°, and 10°, and the PSO Fuzzy-PID controller yielded an average leveling error standard deviation of only 0.068°, with maximum error constrained within 0.45°. The average leveling time was reduced by approximately 6.3% and 15.6% compared with that of fuzzy PID and conventional PID, respectively. Dynamic experiments further revealed that the system maintained a response delay below 0.4 s, with platform attitude fluctuations confined to-0.079° to 0.497°, thereby meeting the precise leveling requirement within±10°. These results confirmed the effectiveness and reliability of the proposed PSO Fuzzy-PID based hydraulic leveling system. The system significantly enhanced the operational stability and safety of agricultural machinery transport on hilly rail platforms, providing valuable technical support for the intelligent development and practical application of agricultural transport equipment in mountainous regions.

hilly and mountainous rail transportation  /  agricultural machinery transfer platform  /  hydraulic automatic leveling  /  particle swarm optimization algorithm  /  fuzzy PID
肖茂华, 丁甲辰, 朱烨均, 柯文韬, 解臣硕, 王家博, 史浩琪. 丘陵山地轨道农机具转运平台防失稳系统设计与试验. 农业机械学报, 2025 , 56 (12) : 170 -179 . DOI: 10.6041/j.issn.1000-1298.2025.12.015
Maohua XIAO, Jiachen DING, Yejun ZHU, Wentao KE, Chenshuo XIE, Jiabo WANG, Haoqi SHI. Design and Test of Anti-instability System of Hilly and Mountain Track Agricultural Machinery Transfer Platform[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 170 -179 . DOI: 10.6041/j.issn.1000-1298.2025.12.015
Year 2025 volume 56 Issue 12
227
100
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Article Info
doi: 10.6041/j.issn.1000-1298.2025.12.015
  • Receive Date:2025-06-18
  • Online Date:2026-09-30
  • Published:2025-12-25
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  • Received:2025-06-18
  • Revised:2025-07-10
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Affiliations
    1.College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
    2.Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang 212400, China
    3.China Europe Engineering College, Shanghai University, Shanghai 200444, 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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