检验轮式装载机在可变形地形中挖掘的模拟与现实之间的差距

IF 2.6 2区 工程技术 Q2 MECHANICS
Koji Aoshima, Martin Servin
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引用次数: 0

摘要

我们研究了基于物理原理的模拟器在多大程度上可以模拟真实的轮式装载机在土堆中进行铲斗装填。比较使用了车辆运动和驱动力、装载质量和总功的现场测试时间序列。车辆被模拟为具有摩擦接触、传动系统和线性致动器的刚性多体系统。对于土壤,我们测试了不同分辨率的离散元素模型,包括多尺度加速度模型和非多尺度加速度模型。时空分辨率在 50-400 毫米和 2-500 毫秒之间,计算速度是实时速度的 1/10,000 到 5 倍。模拟与现实之间的差距约为 10%,与保真度的关系不大,例如与实时模拟兼容。此外,还研究了优化的力反馈控制器在不同模拟域之间转移时的灵敏度。尽管域差距约为 15%,但观察到域偏差导致性能降低了 5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Examining the simulation-to-reality gap of a wheel loader digging in deformable terrain

Examining the simulation-to-reality gap of a wheel loader digging in deformable terrain

We investigate how well a physics-based simulator can replicate a real wheel loader performing bucket filling in a pile of soil. The comparison is made using field-test time series of the vehicle motion and actuation forces, loaded mass, and total work. The vehicle was modeled as a rigid multibody system with frictional contacts, driveline, and linear actuators. For the soil, we tested discrete-element models of different resolutions, with and without multiscale acceleration. The spatiotemporal resolution ranged between 50–400 mm and 2–500 ms, and the computational speed was between 1/10,000 to 5 times faster than real time. The simulation-to-reality gap was found to be around 10% and exhibited a weak dependence on the level of fidelity, e.g., compatible with real-time simulation. Furthermore, the sensitivity of an optimized force-feedback controller under transfer between different simulation domains was investigated. The domain bias was observed to cause a performance reduction of 5% despite the domain gap being about 15%.

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来源期刊
CiteScore
6.00
自引率
17.60%
发文量
46
审稿时长
12 months
期刊介绍: The journal Multibody System Dynamics treats theoretical and computational methods in rigid and flexible multibody systems, their application, and the experimental procedures used to validate the theoretical foundations. The research reported addresses computational and experimental aspects and their application to classical and emerging fields in science and technology. Both development and application aspects of multibody dynamics are relevant, in particular in the fields of control, optimization, real-time simulation, parallel computation, workspace and path planning, reliability, and durability. The journal also publishes articles covering application fields such as vehicle dynamics, aerospace technology, robotics and mechatronics, machine dynamics, crashworthiness, biomechanics, artificial intelligence, and system identification if they involve or contribute to the field of Multibody System Dynamics.
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