Modeling and predictive analysis of the hydraulic GEROLER motor based on artificial neural network

IF 0.7 Q3 ENGINEERING, MULTIDISCIPLINARY

Engineering Review Pub Date : 2022-01-01 DOI:10.30765/er.1813

G. Gregov

引用次数: 1

Abstract

GEROLER hydraulic motors are known for their good value for money and their balance between simplicity, robustness, compactness, versatility and noise. Compared to axial hydraulic motors, GEROLER motors still represent a research area with the possibility of a significant contribution in terms of nonlinear dynamic behavior analysis. The aim of this research was experimental analysis of GEROLER motor dynamics at uneven load torque. Based on the obtained laboratory measurements, a black-box model for predicting the operating parameters using the artificial neural networks was developed. Two different neural network architectures were used: the simpler static multilayer feed-forward network and the more complex dynamic NARX neural network. From the obtained results, it appears that the multilayer feed-forward neural network provides acceptable results, while the dynamic NARX neural network provides more favorable results due to its flexibility in dealing with nonlinear dynamic systems. The research conducted represents a new approach for modeling and predictive analysis of the GEROLER engine.

查看原文本刊更多论文

基于人工神经网络的GEROLER液压马达建模与预测分析

GEROLER液压马达以其物有所值和简单性，稳健性，紧凑性，多功能性和噪音之间的平衡而闻名。与轴向液压马达相比，GEROLER马达仍然是一个研究领域，在非线性动态行为分析方面可能做出重大贡献。本研究的目的是对不均匀负载转矩下的GEROLER电机动力学进行实验分析。在实验室测量数据的基础上，建立了利用人工神经网络预测运行参数的黑箱模型。采用了两种不同的神经网络结构:简单的静态多层前馈网络和更复杂的动态NARX神经网络。从得到的结果来看，多层前馈神经网络提供了可接受的结果，而动态NARX神经网络由于其处理非线性动态系统的灵活性而提供了更有利的结果。该研究为GEROLER发动机的建模和预测分析提供了一种新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Engineering Review ENGINEERING, MULTIDISCIPLINARY-

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： Engineering Review is an international journal designed to foster the exchange of ideas and transfer of knowledge between scientists and engineers involved in various engineering sciences that deal with investigations related to design, materials, technology, maintenance and manufacturing processes. It is not limited to the specific details of science and engineering but is instead devoted to a very wide range of subfields in the engineering sciences. It provides an appropriate resort for publishing the papers covering prior applications – based on the research topics comprising the entire engineering spectrum. Topics of particular interest thus include: mechanical engineering, naval architecture and marine engineering, fundamental engineering sciences, electrical engineering, computer sciences and civil engineering. Manuscripts addressing other issues may also be considered if they relate to engineering oriented subjects. The contributions, which may be analytical, numerical or experimental, should be of significance to the progress of mentioned topics. Papers that are merely illustrations of established principles or procedures generally will not be accepted. Occasionally, the magazine is ready to publish high-quality-selected papers from the conference after being renovated, expanded and written in accordance with the rules of the magazine. The high standard of excellence for any of published papers will be ensured by peer-review procedure. The journal takes into consideration only original scientific papers.