电力传动控制与估计的过采样方法综述

N. Nevaranta
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引用次数: 1

摘要

为了保证电力驱动系统中更高的带宽和更快的诊断,基于过采样的例程受到越来越多的关注,特别是为了改善电机控制方法的局限性并提高驱动器的整体可靠性。本文综述了过采样方法在参数估计、无传感器控制、快速电流控制和诊断等方面的最新研究成果。随着传统解决方案被基于现场可编程门阵列(FPGA)硬件的数字控制系统所取代,现代电气驱动的计算能力正在不断提高,因此,强调下一代电机驱动系统提供智能过采样程序的机会是很重要的。过采样可以提供闭环控制诊断或组件故障检测的可能性尚未得到充分利用,但需要鲁棒且快速的方法。本文简要介绍了过采样方法及其在未来驱动中的可能解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on Oversampling Approaches for Control and Estimation in Electrical Drives
To guarantee higher bandwidths and faster diagnostics in electrical drives systems, oversampling-based routines have been receiving increasing attention, particularly for the purpose to improve the limitations of motor control approaches and increase the overall reliability of the drive. This paper reviews recent research findings of oversampling approaches applied to parameter estimation, sensorless control, fast current control, and diagnostics. As the computational capacity of modern electrical drives is increasing when traditional solutions are being replaced by field programmable gate array (FPGA) hardware-based digital control systems, it is important to highlight the opportunities toward next generation motor drive systems provided with intelligent oversampling routines. The possibilities that oversampling could provide for closed-loop control diagnostics or component fault detection have not yet been exploited to the full, but there is a need for robust and fast approaches. This paper provides concise review of the oversampling approaches and their possible solutions in future drives.
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