LAPSE:2024.0116
Published Article
LAPSE:2024.0116
Optimizing the Control of the Hydraulic Driving System for the Power Shift Gearbox of a Cotton Picker Based on Dual Working Conditions
January 12, 2024
In response to the issues of slow dynamic response, uneven shifting, and strong jolting during the starting and shifting operations of the cotton picker, we established a model for automatic power shifting control. We proposed optimization strategies using the Statechart logic control method and BP neural network control method. Different control effects were analyzed concerning pressure, flow rate, motor speed, vehicle speed, impact degree, and slip-grinding work. The results showed that the Statechart logic control method increased the response time of the flow rate by 46.67% during the starting process, with a good linear characteristic during the variation. It reduced the impact during starting and shifting by 38.57% and 67%, and the sliding friction power during starting and shifting by 51.95% and 33.33% respectively. The BP neural network control method reduced the pressure overshoot during starting and shifting by 25% and 30.77%, respectively, demonstrating better robustness. The pump, motor speed, and vehicle speed showed smooth growth after starting and shifting, with faster vehicle speed response during the starting process. Additionally, the vehicle speed overshoot during shifting significantly decreased, ensuring overall performance that meets the operational requirements of the cotton picker. This finding holds practical significance for the advancement of control strategy optimization and the development of the control system for the powershift gearbox in cotton pickers.
Record ID
Keywords
automatic control, BP neural network control, cotton picker, power shifting, Statechart logic control
Suggested Citation
Lin Y, Feng J, Zhao P, Ni X, Chen H, Ye H, Zhao Y, Pan W, Song B. Optimizing the Control of the Hydraulic Driving System for the Power Shift Gearbox of a Cotton Picker Based on Dual Working Conditions. (2024). LAPSE:2024.0116
Author Affiliations
Lin Y: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Feng J: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Zhao P: Xinjiang Swan Modern Agricultural Machinery & Equipment Co., Wujiaqu North Industrial Park, Wujiaqu 831300, China
Ni X: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Chen H: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China [ORCID]
Ye H: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China [ORCID]
Zhao Y: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Pan W: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Song B: School of Mechanical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Feng J: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Zhao P: Xinjiang Swan Modern Agricultural Machinery & Equipment Co., Wujiaqu North Industrial Park, Wujiaqu 831300, China
Ni X: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Chen H: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China [ORCID]
Ye H: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China [ORCID]
Zhao Y: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Pan W: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832000, China
Song B: School of Mechanical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Journal Name
Processes
Volume
11
Issue
9
First Page
2662
Year
2023
Publication Date
2023-09-05
Published Version
ISSN
2227-9717
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Original Submission
Other Meta
PII: pr11092662, Publication Type: Journal Article
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Published Article
LAPSE:2024.0116
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External Link
doi:10.3390/pr11092662
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Version History
[v1] (Original Submission)
Jan 12, 2024
Verified by curator on
Jan 12, 2024
This Version Number
v1
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https://psecommunity.org/LAPSE:2024.0116
Original Submitter
Calvin Tsay
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