Emission Method of Tractor Based on Improved Particle Swarm Optimization Neural Network

被引：0
|
作者：
Zheng B. [1 ,2 ]
Deng Z. [1 ,3 ]
Luo Z. [1 ,3 ]
Song Z. [1 ,3 ]
Mao E. [1 ,3 ]
Yang Z. [1 ,4 ]
机构：
[1] College of Engineering, China Agricultural University, Beijing
[2] State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing
[3] Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing
[4] Luoyang Intelligent Agricultural Equipment Research Institute, Luoyang
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2023年 / 54卷
关键词：
agricultural tractors; artificial neural network; emission optimization; improved particle swarm algorithm;
D O I：
10.6041/j.issn.1000-1298.2023.S2.048
中图分类号：
学科分类号：
摘要：
Aiming at the serious problem of emission pollution of agricultural tractors, especially limiting the emission of NOx and Soot, taking a certain model of agricultural diesel engine of YITO as the research object, relevant research on engine emission optimization was carried out by using a combination of system modeling and simulation, bench lest verification and simulation analysis. Firstly, a three- dimensional model of the combustion chamber of the agricultural tractor was constructed and imported into CONVERGE for combustion emission simulation and emulation, and through the comparison of the test values of the model cylinder pressure and heal release rale with the simulation values, it was proved that the model could describe the internal combustion and emission process of the engine belter and had a high degree of accuracy. After that, an artificial neural network was established as an agent model with the shrinkage rale, camber depth, and combustion chamber depth as inputs, and NOx and Sool emitted from the engine as outputs. The goodness of fit R2 and the mean relative error (MRE) were calculated to verify the accuracy of the artificial neural network. Then an improved particle swarm optimization algorithm was proposed on this basis to obtain the optimal parameter combinations of the combustion chamber shrinkage rale, camber depth, and combustion chamber depth to form combustion chamber structure and imported into CONVERGE software to perform emission simulation calculations and compare the emissions with the original combustion chamber. It was found that the combustion chamber structure can reduce the engine NOx and Sool emissions, which provided reference and ideas for the design and development of the combustion chamber system of the related agricultural tractors. © 2023 Chinese Society of Agricultural Machinery. All rights reserved.
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页码：417 / 426
页数：9
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