收藏切换
Intelligent Positioning System of Sugarcane Harvester Tip Cutter Based on Bimodal and Fuzzy Adaptive PID Control
收藏切换
Shangping LI1, 2, Hongyu REN1, 2, Yifan MO1, 2, Yutong WEI1, 2, Chunming WEN1, 2, Kaihua LI3
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 366 - 375
Less
收藏切换
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 366-375
• Agricultural Equipment and Mechanization Engineering •
Intelligent Positioning System of Sugarcane Harvester Tip Cutter Based on Bimodal and Fuzzy Adaptive PID Control
Full
Shangping LI1, 2, Hongyu REN1, 2, Yifan MO1, 2, Yutong WEI1, 2, Chunming WEN1, 2, Kaihua LI3
Affiliations
  • 1.College of Electronic Information, Guangxi Minzu University, Nanning 530006, China
  • 2.Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Nanning 530006, China
  • 3.Nanning Taiying Technology Co., Ltd., Nanning 530103, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.033
Outline
收藏切换

Aiming to address the challenge faced by sugarcane harvester operators who rely solely on visual judgment and experience to determine cane tops' positions, making it difficult to adjust cutting height accurately and in real-time, an intelligent positioning system for sugarcane harvester top cutters was proposed based on dual-modal and fuzzy adaptive PID control. Additionally, a cluster-based knife adjustment strategy was developed based on sugarcane cluster feature recognition. The system firstly utilized the YOLO v8 instance segmentation model to detect cane tops, with a depth camera capturing depth data of sugarcane tops in real time and converting pixel coordinates into camera coordinates for height measurement. To validate the depth camera's field performance, multiple field experiments were conducted. Results showed that within a range of 50~100 cm from the sugarcane, the average relative error of the depth camera ranged from 0.189% to 0.949%. Subsequently, fuzzy rules were designed, and a microcontroller integrated with a fuzzy adaptive PID algorithm was used to control the servo motor's operating speed. The maximum rising response speed was approximately 289.36 mm/s, and the descending response speed was about 273.16 mm, with a measurement error within±1 mm. PID comparison experiments showed that fuzzy PID control, compared with traditional PID control, reduced the response time by 0.12 s, bringing it down to 1.24 s. The overshoot was decreased from 12.80 mm to 4.63 mm, the number of overshoots dropped to one, and the steady-state error stabilized within±2 mm. Finally, dynamic tests demonstrated that the system's average recognition time was 0.08 s, showcasing excellent real-time performance.

sugarcane harvester  /  tip cutter  /  intelligent positioning system  /  fuzzy adaptive PID control  /  dual-modal
李尚平, 任泓宇, 莫一凡, 韦雨彤, 文春明, 李凯华. 基于双模态与模糊自适应PID控制的甘蔗收获机切梢器智能定位系统研究. 农业机械学报, 2025 , 56 (12) : 366 -375 . DOI: 10.6041/j.issn.1000-1298.2025.12.033
Shangping LI, Hongyu REN, Yifan MO, Yutong WEI, Chunming WEN, Kaihua LI. Intelligent Positioning System of Sugarcane Harvester Tip Cutter Based on Bimodal and Fuzzy Adaptive PID Control[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 366 -375 . DOI: 10.6041/j.issn.1000-1298.2025.12.033
Year 2025 volume 56 Issue 12
224
100
Cite this Article
BibTeX
Article Info
doi: 10.6041/j.issn.1000-1298.2025.12.033
  • Receive Date:2025-01-14
  • Online Date:2026-09-30
  • Published:2025-12-25
Article Data
Affiliations
History
  • Received:2025-01-14
  • Revised:2025-03-26
Funding
Affiliations
    1.College of Electronic Information, Guangxi Minzu University, Nanning 530006, China
    2.Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Nanning 530006, China
    3.Nanning Taiying Technology Co., Ltd., Nanning 530103, China
References
Share
https://castjournals.cast.org.cn/joweb/nyjxxb/EN/10.6041/j.issn.1000-1298.2025.12.033
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT