收藏切换
Evaluation Method of Tractor Dynamic Models Based on Time Response Error and Grey Relational Analysis
收藏切换
Liquan LU1, Zhongxiang ZHU1, 2, Zhenghe SONG1, 2, Zhiqiang ZHAI1, 2, Jianhua WANG3, Chuanchuan ZHANG3
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 158 - 169
Less
收藏切换
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 158-169
• Special Column of Key Technologies for Intelligent Agricultural Power Equipment •
Evaluation Method of Tractor Dynamic Models Based on Time Response Error and Grey Relational Analysis
Full
Liquan LU1, Zhongxiang ZHU1, 2, Zhenghe SONG1, 2, Zhiqiang ZHAI1, 2, Jianhua WANG3, Chuanchuan ZHANG3
Affiliations
  • 1.College of Engineering, China Agricultural University, Beijing 100083, China
  • 2.State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471039, China
  • 3.Luoyang Tractor Research Institute Ltd., Luoyang 471039, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.014
Outline
收藏切换

Aiming to address the issues of missing accuracy evaluation for tractor dynamic models and the lack of systematic, standardized assessment methods, an accuracy evaluation approach was proposed based on time-response error and grey relational analysis, grounded in the verification, validation, and accreditation (VV&A) theory of model simulation systems. A hierarchical validation index system comprising phase error, amplitude error, and shape error was constructed, and the grey relational degree method was applied for segmental evaluation of dynamic response curves. Four sets of idealized test cases with defined error components were designed and analyzed by using both the proposed method and traditional numerical error analysis techniques. The results demonstrated that the proposed method effectively decoupled and accurately identified multiple error characteristics in each test case, precisely reflecting the sources and distribution of errors, while its comprehensive evaluation accuracy outperformed traditional methods. Furthermore, taking a self-developed longitudinal dynamic model of a power-shift tractor as an application case, real vehicle data were collected under five road conditions: tilled field, untilled field, stubble field, concrete surface, and mixed road surface. The proposed method was used to compare and analyze simulation results against real vehicle data under various working conditions. The results indicated that the mean comprehensive accuracy score of the model was 90.95. Under high-speed and complex road conditions, scores for various error characteristics decreased significantly, with comprehensive results in some extreme conditions falling below 88, reflecting certain limitations of the model under different working conditions, which aligned with objective reality and verified the effectiveness and comprehensiveness of the proposed evaluation method.

tractors dynamics model  /  evaluation method  /  time response error  /  grey relational analysis
路力权, 朱忠祥, 宋正河, 翟志强, 王建华, 张钏钏. 基于时间响应误差与灰色关联度的拖拉机动力学模型评价方法. 农业机械学报, 2025 , 56 (12) : 158 -169 . DOI: 10.6041/j.issn.1000-1298.2025.12.014
Liquan LU, Zhongxiang ZHU, Zhenghe SONG, Zhiqiang ZHAI, Jianhua WANG, Chuanchuan ZHANG. Evaluation Method of Tractor Dynamic Models Based on Time Response Error and Grey Relational Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 158 -169 . DOI: 10.6041/j.issn.1000-1298.2025.12.014
Year 2025 volume 56 Issue 12
179
80
Cite this Article
BibTeX
Article Info
doi: 10.6041/j.issn.1000-1298.2025.12.014
  • Receive Date:2025-09-08
  • Online Date:2026-09-30
  • Published:2025-12-25
Article Data
Affiliations
History
  • Received:2025-09-08
  • Revised:2025-09-25
Funding
Affiliations
    1.College of Engineering, China Agricultural University, Beijing 100083, China
    2.State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471039, China
    3.Luoyang Tractor Research Institute Ltd., Luoyang 471039, China
References
Share
https://castjournals.cast.org.cn/joweb/nyjxxb/EN/10.6041/j.issn.1000-1298.2025.12.014
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