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The Improved Division-Less MT-Type Velocity Estimation Algorithm for Low-Cost FPGAs

机译:低成本FPGA的改进的分时无损MT型速度估计算法

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摘要

Advanced motion control applications require smooth and highly accurate high-bandwidth velocity feedback, which is usually provided by an incremental encoder. Furthermore, high sampling rates are also demanded in order to achieve cutting-edge system performance. Such control system performance with high accuracy can be achieved easily by FPGA-based controllers. On the other hand, the well-known MT method for velocity estimation has been well proven in practice. However, its complexity, which is related to the inherent arithmetic division involved in the calculus part of the method, prevents its holistic implementation as a single-chip solution on small-size low-cost FPGAs that are suitable for practical optimized control systems. In order to overcome this obstacle, we proposed a division-less MT-type algorithm that consumes only minimal FPGA resources, which makes it proper for modern cost-optimized FPGAs. In this paper, we present new results. The recursive discrete algorithm has been further optimized, in order to improve the accuracy of the velocity estimation. The novel algorithm has also been implemented on the experimental FPGA board, and validated by practical experiments. The enhanced algorithm design resulted in improved practical performance.
机译:先进的运动控制应用需要平滑且高精度的高带宽速度反馈,这通常由增量编码器提供。此外,还要求高采样率以实现尖端的系统性能。这样的高精度控制系统性能可以通过基于FPGA的控制器轻松实现。另一方面,众所周知的用于速度估计的MT方法已在实践中得到证明。但是,其复杂性与该方法的演算部分所涉及的固有算术除法有关,因此阻止了其在适合于实际优化控制系统的小型低成本FPGA上作为单芯片解决方案的整体实现。为了克服这一障碍,我们提出了一种无除法的MT型算法,该算法仅消耗最少的FPGA资源,因此适合现代成本优化的FPGA。在本文中,我们提出了新的结果。为了提高速度估计的准确性,对递归离散算法进行了进一步优化。该新算法还已经在实验FPGA板上实现,并通过实际实验进行了验证。增强的算法设计提高了实用性能。

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