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Optimal Control Method for Tractor Power-shifting Process Using Time-varying Disturbance Observer
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Shenghui FU1, 2, Ruqi TANG1, Wei LI3, Shuangxi LIU1, 2, Naixu REN1, Wen ZHANG1, 2
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 201 - 210
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Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 201-210
• Special Column of Key Technologies for Intelligent Agricultural Power Equipment •
Optimal Control Method for Tractor Power-shifting Process Using Time-varying Disturbance Observer
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Shenghui FU1, 2, Ruqi TANG1, Wei LI3, Shuangxi LIU1, 2, Naixu REN1, Wen ZHANG1, 2
Affiliations
  • 1.College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China
  • 2.National Engineering Research Center of Agricultural Production Machinery and Equipment, Shandong Agricultural University, Tai'an 271018, China
  • 3.College of Science and Technology, The Open University of China, Beijing 100039, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.018
Outline
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Due to the complex working conditions of tractors, which are influenced by the working environment, soil conditions, and traction loads, random time-varying disturbances during power shifting process could easily cause shifting jerk and even damage the transmission. Therefore, an optimal control method for tractor power shifting process considering time-varying disturbance observer was proposed. Firstly, the dynamic characteristics of the tractor shift process were analyzed to establish the shifting process dynamics model. The shift time, sliding friction work, and shock degree were taken as the shifting quality indicators, and a quadratic index function of the shifting control system was constructed. Then a high-order disturbance observer (HDO) was introduced to estimate the time-varying disturbances and their derivatives during the shifting process, and the linear quadratic regulator (LQR) was derived and solved for the optimal control law of the shifting process based on the Hamiltonian function. Finally, a hardware-in-the-loop simulation platform for tractors was built based on dSPACE and Matlab/Simulink to verify the shifting process performance under different operating conditions. The results showed that taking the shift from 1LL gear to 1L gear as an example, the shifting times under the transportation and plowing working conditions were 0.72 s and 0.85 s respectively, which were reduced by 22.58% and 38.4% compared with that of LQR. After compensation by HDO, the maximum shifting jerks were 16.11 m/s3 and 8.51 m/s3, respectively, which were 5.29% and 2.04% higher than that of LQR, the shifting jerk difference was not obvious, but the sliding friction work control effect was significant, being only 4.61 kJ and 8.82 kJ, which were reduced by 38.04% and 59.17% compared with that of LQR. The method could effectively observe and suppress the time-varying disturbances during the shifting process, and improve the shifting comfort.

power shift transmission  /  shifting process control  /  high-order disturbance observer  /  linear quadratic regulator  /  shifting quality
傅生辉, 唐汝旗, 李伟, 刘双喜, 任乃旭, 张稳. 考虑时变扰动观测的拖拉机动力换挡过程最优控制方法. 农业机械学报, 2025 , 56 (12) : 201 -210 . DOI: 10.6041/j.issn.1000-1298.2025.12.018
Shenghui FU, Ruqi TANG, Wei LI, Shuangxi LIU, Naixu REN, Wen ZHANG. Optimal Control Method for Tractor Power-shifting Process Using Time-varying Disturbance Observer[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 201 -210 . DOI: 10.6041/j.issn.1000-1298.2025.12.018
Year 2025 volume 56 Issue 12
184
83
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doi: 10.6041/j.issn.1000-1298.2025.12.018
  • Receive Date:2025-09-17
  • Online Date:2026-09-30
  • Published:2025-12-25
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  • Received:2025-09-17
  • Revised:2025-09-27
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Affiliations
    1.College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China
    2.National Engineering Research Center of Agricultural Production Machinery and Equipment, Shandong Agricultural University, Tai'an 271018, China
    3.College of Science and Technology, The Open University of China, Beijing 100039, 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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