装载机电动传动参数的控制与预测

D. Shprekher, G. I. Babokin, E. Kolesnikov
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引用次数: 2

摘要

本文提出了一种新型的电动装载机控制系统,大大提高了装载机的运行可靠性和安全性。通过对电传动的电气、机械诊断指标进行预测,并结合实际技术条件,实施与维修保养相关的预测控制活动,解决了该问题。利用神经网络模型预测驱动参数。与不带参数预测功能的控制系统相比,它增加了电驱动的平均无故障时间和可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameter control and forecast for electric drive parameters of cutter-loader
We propose a new system for control of an electric drive of the cutter-loader greatly improving its operational reliability and safety. The problem is solved by forecast of electric and mechanical diagnostic indicators of the electric drive and implementation of predictive control activities related to maintenance and repair based on actual technical conditions. Forecasting drive parameters is enabled with a neural network model. It increases the mean time between failures and availability factor of the electric drive compared with operation of the control system without a parameter prediction feature.
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