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大型曲轴支撑反力的基于模型控制评估。

Evaluation of Model-based Control of Reaction Forces at the Supports of Large-size Crankshafts.

机构信息

Faculty of Marine Engineering, Maritime University of Szczecin, ul. Willowa 2-4, 71-650 Szczecin, Poland.

Faculty of Mechatronics and Electrical Engineering, Maritime University of Szczecin, ul. Willowa 2-4, 71-650 Szczecin, Poland.

出版信息

Sensors (Basel). 2020 May 6;20(9):2654. doi: 10.3390/s20092654.

Abstract

A support control automation system employing force sensors to a large-size crankshaft main journals' flexible support-system was studied. The current system was intended to evaluate the geometric condition of crankshafts in internal combustion diesel engines. The support reaction forces were changed to minimize the crankshaft elastic deflection as a function of the crank angle. The aim of this research was to verify the hypothesis that the mentioned change can be expressed by a monoharmonic model regardless of a crankshaft structure. The authors' investigations have confirmed this hypothesis. It was also shown that an algorithmic approach improved the mathematical model mapping with the reaction forces due to faster and more accurate calculations of a phase shift angle. The verification of the model for crankshafts with different structural designs made it possible to assess how well the model fits the coefficients of determination that were calculated with the finite element analysis (FEA). For the crankshafts analyzed, the coefficients of determination R were greater than 0.9997, while the maximum relative percentage errors δ were up to 1.0228%. These values can be considered highly satisfactory for the assessment of the conducted study.

摘要

采用力传感器的大型曲轴主轴承柔性支撑系统的支持控制自动化系统得到了研究。当前的系统旨在评估内燃机中曲轴的几何状态。支撑反力的变化旨在最小化作为曲柄角函数的曲轴弹性挠度。本研究的目的是验证以下假设,即无论曲轴结构如何,这种变化都可以用单谐模型来表示。作者的研究证实了这一假设。还表明,由于相位移角的计算更快、更准确,算法方法提高了对反作用力的数学模型映射。对不同结构设计的曲轴进行模型验证,使评估模型与通过有限元分析(FEA)计算得出的决定系数的拟合程度成为可能。对于分析的曲轴,决定系数 R 大于 0.9997,而最大相对百分比误差 δ 高达 1.0228%。对于所进行的研究的评估,这些值可以被认为是非常令人满意的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c0/7248936/8671124b564a/sensors-20-02654-g0A1.jpg

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