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Optimal Control for Single-Phase Brushless DC Motor with Hall Sensor

机译:带霍尔传感器的单相无刷直流电动机的最优控制

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This study deals with the optimization control of a single-phase brushless DC motor (BLDCM) with Hall sensor. A simple modeling method with feasible parameter identification is adopted to meet characteristics of single-phase BLDCM. With the linear Hall sensor feedback, the advantages of current-mode control scheme and soft-commutation scheme are proposed to achieve maximum efficiency over the entire speed range. This thesis also develops a low-cost and high efficiency control for single-phase BLDCM. The hardware test platform has been constructed on a single-chip Field Programmable Gate Array (FPGA) of Cyclone II Family of Altera to verify the performance and feasibility of the proposed optimization control strategies. When using the control scheme with Hall sensor, experimental results show that there are at least a 10% improvement for average value of dc-link current, a 10% improvement for RMS value of phase current and a 40% improvement for peak value of phase current.
机译:这项研究涉及带有霍尔传感器的单相无刷直流电动机(BLDCM)的优化控制。为满足单相无刷直流电动机的特性,采用了一种具有可行参数辨识的简单建模方法。利用线性霍尔传感器反馈,提出了电流模式控制方案和软整流方案的优点,以在整个速度范围内实现最大效率。本文还为单相无刷直流电动机开发了一种低成本,高效率的控制方法。硬件测试平台已构建在Altera Cyclone II系列的单片现场可编程门阵列(FPGA)上,以验证所提出的优化控制策略的性能和可行性。当使用带有霍尔传感器的控制方案时,实验结果表明,直流链路电流的平均值至少提高了10%,相电流的RMS值提高了10%,相峰值的提高了40%当前。

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