Parameter optimization of field oriented control with 6 sigma tool

ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570) Pub Date : 2001-06-12 DOI:10.1109/ISIE.2001.931995

Jin-Gwon Hwang, Kyung-hoon Kim, Yong-Tae Kim, Seung-Myun Baek

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引用次数: 6

Abstract

The permanent magnet synchronous motor (PMSM) and sensorless field oriented control (FOC) system became a technology issue in the area of home appliances because they are good at reducing power consumption and acoustic noise. Sensorless FOC consists of speed controller, current controller, position estimator and so on. There are many parameters that have an effect on the performance of the control system. Furthermore, some of these parameters may interact, so it is very difficult to optimize these parameters. In this paper, we introduce the implementation of sensorless FOC using a digital signal processor (DSP), and we propose an optimization method using the multiple responses optimization that is one of the tools of six sigma. This optimization includes factor decision, design of experiment, regression analysis, response surface design, optimization process, and capability analysis. With this optimization, acoustic noise and power consumption is much reduced and speed control performance increases. Experimental results are included.

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用6西格玛工具优化磁场定向控制参数

永磁同步电机(PMSM)和无传感器场定向控制(FOC)系统因其在降低功耗和噪声方面的优势而成为家电领域的技术热点。无传感器FOC由速度控制器、电流控制器、位置估计器等组成。有许多参数对控制系统的性能有影响。此外，其中一些参数可能相互作用，因此这些参数的优化是非常困难的。在本文中，我们介绍了使用数字信号处理器(DSP)实现无传感器FOC，并提出了一种使用六西格玛工具之一的多响应优化的优化方法。该优化包括因素决策、实验设计、回归分析、响应面设计、优化流程和能力分析。通过这种优化，噪音和功耗大大降低，速度控制性能提高。包括实验结果。

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ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)

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