Design of tractor virtual test system based on high-level architecture technology

考试(生物学) 拖拉机 建筑 计算机科学 工程类 生物 汽车工程 地理 生态学 考古
作者
Xianghai Yan,Ching Shang,Junjiang Zhang,Liyou Xu
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:18 (10): e0293229-e0293229
标识
DOI:10.1371/journal.pone.0293229
摘要

The limitations of the tractor virtual test system are evident in various aspects, including model reuse, system expansion, offsite interconnection, and virtual reality verification. To address these challenges, a distributed virtual test system for tractors based on the high-level architecture (HLA) is proposed. Involve analyzing the hardware structure and the tractor virtual test system, constructing the system federation and its members, and designing the federated object model (FOM) and simulation object model (SOM) tables. The system integrates multi-domain commercial software and enables real-time virtual testing through TCP/IP interconnection of multiple machines. To evaluate the system's performance, a virtual test of the tractor's reversing clutch engagement performance is conducted. The system's simulation performance and data transmission delay are thoroughly tested and analyzed. The results indicate that when the system's data volume reaches 5000KB, the data delay is 9.7ms, which satisfies the requirement of not exceeding 10ms for tractor virtual testing delay. The virtual test of the reversing clutch power reversal process demonstrates that it lasts 0.7s, with the vehicle speed changing from -3.5km/h to 3.5km/h, the forward gear piston oil pressure increasing from 0MPa to 5MPa, and the peak impact degree reaching 17m/s3. The slip work during the reversing process is measured to be 21kJ. Furthermore, the gray correlation method is employed to compare the virtual test results with the bench test results, confirming their consistency. The power reversal process exhibits relatively smooth speed changes overall. Therefore, the tractor power shift transmission (PST) reversing clutch virtual test model operates effectively within the HLA-based tractor virtual test system.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
善学以致用应助BaekHyun采纳,获得10
刚刚
1秒前
1秒前
nanhe698完成签到,获得积分10
2秒前
2秒前
李本来完成签到,获得积分20
3秒前
看看发布了新的文献求助10
3秒前
ZZY完成签到,获得积分10
3秒前
DQY完成签到,获得积分10
4秒前
BONBON完成签到,获得积分20
4秒前
动听导师发布了新的文献求助10
5秒前
5秒前
季忆完成签到,获得积分10
5秒前
小周发布了新的文献求助10
6秒前
smile发布了新的文献求助10
6秒前
7秒前
Lore完成签到 ,获得积分10
7秒前
7秒前
jiang完成签到,获得积分10
8秒前
8秒前
无奈的酒窝关注了科研通微信公众号
9秒前
毛毛完成签到,获得积分10
9秒前
正在完成签到,获得积分10
10秒前
10秒前
充电宝应助JR采纳,获得10
11秒前
11秒前
cc完成签到,获得积分20
11秒前
李爱国应助111采纳,获得10
11秒前
jy发布了新的文献求助10
11秒前
好好完成签到 ,获得积分10
12秒前
阿希塔完成签到,获得积分10
12秒前
JamesPei应助看看采纳,获得10
12秒前
14秒前
14秒前
卢健辉发布了新的文献求助10
14秒前
15秒前
cookie完成签到,获得积分10
15秒前
JMZ完成签到 ,获得积分10
17秒前
英姑应助星星采纳,获得10
17秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808