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首页> 外文期刊>International Journal of Precision Engineering and Manufacturing >Motor Current Prediction of a Machine Tool Feed Drive Using a Component-Based Simulation Model
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Motor Current Prediction of a Machine Tool Feed Drive Using a Component-Based Simulation Model

机译:使用基于组件的仿真模型预测机床进给驱动器的电动机电流

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摘要

In recent times, simulation techniques have been rapidly accepted by the machine tool industry. However, most existing simulation studies have focused on a particular machine tool and described an entire machine tool feed drive as a single combined system. This paper presents a method to accurately predict motor current (torque) behavior and acquire a more generalized and accurate dynamic simulation model for a machine tool feed drive. To improve the generality, a component-based approach is introduced. In this approach, the feed drive model is composed of subcomponent models, and each component mechanism is then independently modeled. In the developed model structure, the parameters of the subcomponent model can easily be determined by using product datasheets or simple parameter identification based on motor current measurements. To enhance the model accuracy in predicting the motor current, an improved friction model including time-dependent frictional characteristics and rolling contact conditions was introduced to the simulation. The performance of the developed dynamic simulation model is demonstrated through a comparison with real machine tool behavior.
机译:近年来,仿真技术已被机床工业迅速接受。但是,大多数现有的仿真研究都集中在特定的机床上,并将整个机床进给驱动器描述为单个组合系统。本文提出了一种方法,可以准确地预测电动机电流(转矩)行为,并获得更通用,更精确的机床进给驱动器动态仿真模型。为了提高通用性,引入了一种基于组件的方法。在这种方法中,进给驱动模型由子组件模型组成,然后分别对每个组件机制进行建模。在开发的模型结构中,可以使用产品数据表或基于电动机电流测量值的简单参数识别轻松确定子组件模型的参数。为了提高模型在预测电动机电流中的准确性,将改进的摩擦模型(包括随时间变化的摩擦特性和滚动接触条件)引入了仿真。通过与实际机床行为的比较证明了开发的动态仿真模型的性能。

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