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Design and Test of Tractor Tillage Depth Control System Based on Optimal Draft-position Comprehensive Degree
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Xiaoxu SUN, Huawei LÜ, Jin QIAN, Yue SONG, Zhixiong LU
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 180 - 189
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Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 180-189
• Special Column of Key Technologies for Intelligent Agricultural Power Equipment •
Design and Test of Tractor Tillage Depth Control System Based on Optimal Draft-position Comprehensive Degree
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Xiaoxu SUN, Huawei LÜ, Jin QIAN, Yue SONG, Zhixiong LU
Affiliations
  • College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.016
Outline
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Aiming at the problem that the artificial setting of comprehensive coefficient is difficult to adapt to the complex and changeable working environment of soil conditions in the process of tractor electro-hydraulic suspension tillage depth control, a tillage depth control method based on optimal draft-position comprehensive coefficient was proposed. Firstly, the test platform of tractor electro-hydraulic suspension draft-position integrated tillage depth control and loading system was built and the system was modeled by system identification method. Then aiming at the problem of uncertain parameters of the equivalent transfer function of the system, a global sliding mode control algorithm was designed, and an arc-tangent function was introduced to reduce the chattering of the system. The full factor sample test was designed, and the comprehensive operation evaluation index was established by compromise programming method. The expected draft-position comprehensive coefficient under different working conditions was obtained, and the optimal draft-position comprehensive model was established based on the least squares support vector machine optimized by particle swarm optimization algorithm (PSO-LSSVM). Finally, the effect of the control system was verified by using the built control system test platform. The results showed that the proposed algorithm achieved a rise time of 1.06 s without noticeable chattering. Compared with the fixed weight-depth control method with a comprehensive coefficient of 0.5, the proposed method reduced the depth deviation rate by 19.5% and 13.9% at target depths of 140 mm and 220 mm, respectively, while improving depth uniformity by 16.6% and 11.2%. This method can realize the adaptive adjustment of the comprehensive coefficient according to the soil specific resistance and tillage depth, and was more adaptable to the complex field operation environment, which provided a reference for the research of tillage depth control method.

tillage depth control system  /  PSO-LSSVM  /  parameter identification  /  global sliding mode control  /  optimal draft-position comprehensive degree
孙晓旭, 吕华伟, 钱进, 宋悦, 鲁植雄. 基于最优力位综合度的拖拉机耕深控制系统设计与试验. 农业机械学报, 2025 , 56 (12) : 180 -189 . DOI: 10.6041/j.issn.1000-1298.2025.12.016
Xiaoxu SUN, Huawei LÜ, Jin QIAN, Yue SONG, Zhixiong LU. Design and Test of Tractor Tillage Depth Control System Based on Optimal Draft-position Comprehensive Degree[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 180 -189 . DOI: 10.6041/j.issn.1000-1298.2025.12.016
Year 2025 volume 56 Issue 12
259
119
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doi: 10.6041/j.issn.1000-1298.2025.12.016
  • Receive Date:2025-01-10
  • Online Date:2026-09-30
  • Published:2025-12-25
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  • Received:2025-01-10
  • Revised:2025-01-25
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    College of Engineering, Nanjing Agricultural University, Nanjing 210031, 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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