精确调谐对嵌入式系统性能的影响:以面向场的控制为例

Gabriele Magnani, Daniele Cattaneo, M. Chiari, G. Agosta
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引用次数: 4

摘要

场定向控制(FOC)是一种工业标准策略,用于控制感应电机和其他类型的交流电机。这种控制方案在数字实现时具有非常高的算术强度-特别是它需要使用三角函数。这一要求与必要时增加控制阶跃频率的必要性形成鲜明对比,并且在节省电池寿命至关重要的应用(如无人机)中最大限度地减少功耗。然而,这也使得FOC非常适合使用精确调优技术进行优化。因此,我们利用最先进的FixM方法,通过应用三角函数的精确调谐来优化模拟典型FOC应用程序的迷你应用程序。FixM方法本身进行了扩展,以便实现额外的算法选择,从而在执行时间和代码大小之间进行权衡。通过在miniapp上应用FixM,我们实现了高达278%的加速,代价是输出中的错误小于0.1%。2012 ACM主题分类硬件→功率估计与优化;软件及其工程→编译器;应用计算→消费者健康
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Precision Tuning on Embedded Systems Performance: A Case Study on Field-Oriented Control
Field Oriented Control (FOC) is an industry-standard strategy for controlling induction motors and other kinds of AC-based motors. This control scheme has a very high arithmetic intensity when implemented digitally – in particular it requires the use of trigonometric functions. This requirement contrasts with the necessity of increasing the control step frequency when required, and the minimization of power consumption in applications where conserving battery life is paramount such as drones. However, it also makes FOC well suited for optimization using precision tuning techniques. Therefore, we exploit the state-of-the-art FixM methodology to optimize a miniapp simulating a typical FOC application by applying precision tuning of trigonometric functions. The FixM approach itself was extended in order to implement additional algorithm choices to enable a trade-off between execution time and code size. With the application of FixM on the miniapp, we achieved a speedup up to 278%, at a cost of an error in the output less than 0.1%. 2012 ACM Subject Classification Hardware → Power estimation and optimization; Software and its engineering → Compilers; Applied computing → Consumer health
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