Limiting dynamic loads of electric drive with flexible couplings and variable inertia moment

2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) Pub Date : 2018-01-01 DOI:10.1109/EICONRUS.2018.8317165

D. A. Blagodarov, Y. M. Safonov, D. D. Grigorian, V. Khramshin

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引用次数: 10

Abstract

This The paper addresses some issues of design of electric drives for mechanisms and machines with varied inertia, which are operating under severe dynamic conditions are noted. A logarithmic decrement has been taken as the most suitable limit of dynamical loads. The standard classification of electric drive designs upon criterion of mechanical impedance of the speed-torque characteristic of electric drives has been provided. It is shown that it is possible to get a marginal limitation of oscillations providing the greatest possible operational life of the machine. Missing or wrong information of a current inertia of the second mass compounds represents a problem for selection of an optimum adjustment of electric drive regulator. This paper studies different designs of electric drives to damp vibrations within the specified inertia range. The results of analysis of dynamic behavior of electric drives obtained with simulation have been provided. Recommendations for these electric drives have been elaborated. It is proven that intelligent control systems based on fuzzy controllers and artificial neuron network are most promising.

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柔性联轴器和变惯量矩电传动的极限动载荷

本文讨论了在恶劣动态条件下工作的变惯量机构和机械的电传动设计问题。采用对数减量作为最合适的动载荷极限。根据电力传动速度-转矩特性的机械阻抗标准，给出了电力传动设计的标准分类。结果表明，在提供最大可能的机器使用寿命的情况下，有可能得到振荡的边际限制。第二质量化合物的电流惯量信息的缺失或错误是电驱动调节器最佳调整选择的一个问题。在给定的惯性范围内，研究了不同的电传动设计对振动的抑制作用。给出了电传动系统动力学特性仿真分析的结果。对这些电力驱动的建议已经详细阐述。事实证明，基于模糊控制器和人工神经元网络的智能控制系统是最有前途的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)

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