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Loss Minimizing Control of PMSM with the Use of Polynomial Approximations

机译:使用多项式近似度最小化PMSM对PMSM的控制

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Normally, look-up table based methods are being utilized for loss minimizing control of permanent magnet synchronous motors (PMSMs). But, numerous repetitive experiments are required to make a look-up table, and the program size becomes bulky. In this work, analytic methods of finding the loss minimizing solution are studied. Since the solution lies either in the interior, or on the voltage limit boundary, two different cases are dealt separately. In both cases, fourth order polynomials are derived. To obtain approximate solutions, methods of order reduction and linear approximation are utilized. The accuracies are good enough for practical use. These approximate solutions are fused into a proposed loss minimizing algorithm (LMA), and implemented in an inverter DSP. Experiments were done with the real PMSM developed for a sport-utility fuel cell electric vehicle (FCEV). The analytically derived minima were justified by experimental evidences, and the dynamic performances over wide speed range were shown to be satisfactory.
机译:通常,正在用于基于查找表的方法,用于最小化永磁同步电动机(PMSM)的控制。但是,需要多次重复的实验来制作查找表,并且程序尺寸变得笨重。在这项工作中,研究了发现损耗最小化解决方案的分析方法。由于解决方案位于内部,或者在电压限制边界处,分别处理了两种不同的情况。在这两种情况下,得出了第四阶多项式。为了获得近似解决方案,利用顺序减少和线性近似的方法。精度足以让实际使用。这些近似解决方案融合成所提出的损耗最小化算法(LMA),并在逆变器DSP中实现。使用为运动型燃料电池电动车(FCEV)开发的真正的PMSM进行了实验。通过实验证据,分析衍生的最小值是合理的,并且宽速度范围的动态性能被认为是令人满意的。

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