An Optimization Algorithm of Alternating Synchronization Sampling Based on Dynamic Sampling Interval Adjustment

摘要

In this paper, an analysis of the sources of errors in conventional algorithm of synchronous sampling is presented. An alternate synchronous sampling optimization algorithm is proposed, in which the sampling intervals are dynamically adjusted within each signal cycle. A rule for the remainder and rounding is identified to accelerate the execution of the algorithm. Results from experiments show that this approach is effective in reducing the synchronous errors, increasing the precision of measurements, speeding up the execution, and enhancing the real-time capability of the sampling.