Optimisation of Control Strategies for Power Shift Gearboxes
This study is based on the influence of power shift control on the smoothness of cotton picker shifts and proposes an optimization method for the smoothness of power shifts with different control strategies for the gearbox. Through the structural design of the power shift mechanism control module, t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/6/1266 |
| _version_ | 1797596524674285568 |
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| author | Wenlong Pan Lei Wang Xiangdong Ni Wenqing Cai Yongqiang Zhao Huajun Chen Yuangang Lin Yuhan Zhou |
| author_facet | Wenlong Pan Lei Wang Xiangdong Ni Wenqing Cai Yongqiang Zhao Huajun Chen Yuangang Lin Yuhan Zhou |
| author_sort | Wenlong Pan |
| collection | DOAJ |
| description | This study is based on the influence of power shift control on the smoothness of cotton picker shifts and proposes an optimization method for the smoothness of power shifts with different control strategies for the gearbox. Through the structural design of the power shift mechanism control module, the hydraulic power distribution of the hydraulic system of the hydraulic travel module and its control mode are analyzed, and a regional cooperative shift control strategy is proposed in conjunction with control theory. A model of cotton picker dynamics was built using AMESim simulation software. In addition, the traditional control strategy was simulated and compared with the Statement component automatic control strategy to analyze and discuss the control deficiencies in power shift smoothness. Then, a particle swarm genetic algorithm (PSGA) was constructed by integrating the PSO algorithm and the genetic algorithm to verify the effectiveness of the algorithm in improving the dynamic performance and shift smoothness of the gearbox. The algorithm was verified using bench tests, and the algorithm improved the harvesting quality and efficiency of the cotton picker. |
| first_indexed | 2024-03-11T02:52:40Z |
| format | Article |
| id | doaj.art-430592bd4ba34f2c89d2fdd9bbf114bf |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-11T02:52:40Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-430592bd4ba34f2c89d2fdd9bbf114bf2023-11-18T08:52:35ZengMDPI AGAgriculture2077-04722023-06-01136126610.3390/agriculture13061266Optimisation of Control Strategies for Power Shift GearboxesWenlong Pan0Lei Wang1Xiangdong Ni2Wenqing Cai3Yongqiang Zhao4Huajun Chen5Yuangang Lin6Yuhan Zhou7College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaKey Laboratory of Modern Agricultural Machinery, Xinjiang Production and Construction Corps, Shihezi 832000, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Information Science and Technology, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaThis study is based on the influence of power shift control on the smoothness of cotton picker shifts and proposes an optimization method for the smoothness of power shifts with different control strategies for the gearbox. Through the structural design of the power shift mechanism control module, the hydraulic power distribution of the hydraulic system of the hydraulic travel module and its control mode are analyzed, and a regional cooperative shift control strategy is proposed in conjunction with control theory. A model of cotton picker dynamics was built using AMESim simulation software. In addition, the traditional control strategy was simulated and compared with the Statement component automatic control strategy to analyze and discuss the control deficiencies in power shift smoothness. Then, a particle swarm genetic algorithm (PSGA) was constructed by integrating the PSO algorithm and the genetic algorithm to verify the effectiveness of the algorithm in improving the dynamic performance and shift smoothness of the gearbox. The algorithm was verified using bench tests, and the algorithm improved the harvesting quality and efficiency of the cotton picker.https://www.mdpi.com/2077-0472/13/6/1266power shiftshift smoothnessAMESimPSGA algorithm |
| spellingShingle | Wenlong Pan Lei Wang Xiangdong Ni Wenqing Cai Yongqiang Zhao Huajun Chen Yuangang Lin Yuhan Zhou Optimisation of Control Strategies for Power Shift Gearboxes Agriculture power shift shift smoothness AMESim PSGA algorithm |
| title | Optimisation of Control Strategies for Power Shift Gearboxes |
| title_full | Optimisation of Control Strategies for Power Shift Gearboxes |
| title_fullStr | Optimisation of Control Strategies for Power Shift Gearboxes |
| title_full_unstemmed | Optimisation of Control Strategies for Power Shift Gearboxes |
| title_short | Optimisation of Control Strategies for Power Shift Gearboxes |
| title_sort | optimisation of control strategies for power shift gearboxes |
| topic | power shift shift smoothness AMESim PSGA algorithm |
| url | https://www.mdpi.com/2077-0472/13/6/1266 |
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