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基于模糊控制原理的电容薄膜真空计数据优化算法研究

Data Optimization Algorithm of Capacitance Diaphragm Gauge Based on Fuzzy Control Theory

  • 摘要: 电容薄膜真空计广泛应用于中、低真空的测量,为了提高电容薄膜真空计的测量准确性,将算法应用于电容式薄膜压力计的数据处理中。分段拟合方法可以根据每个数据段上的数据特性,使每个数据段上的误差数据曲线拟合得更加准确。然而,这种方法会在边界点处出现数据点跳跃间断的问题,这对实际使用有很大影响。文章设计了一种基于模糊控制原理的数据处理算法,以消除气压测量值在分界点处的跳跃间断问题。经过模糊控制算法的处理,电容薄膜真空计的测量精度得到了提高,气压测量数据曲线在全范围内具有良好的连续性。

     

    Abstract: Capacitance diaphragm gauges are widely used to measure medium and low vacuum. To improve the measurement accuracy of capacitance diaphragm gauges, the algorithm is applied to the data processing of capacitance diaphragm gauges. The piecewise fitting method can make the error data curve on each data segment fit more accurately according to the characteristics of the data on each data segment. However, this approach has the problem of data point jumping at boundary points, which has a great impact on practical use. In this paper, a data processing algorithm based on fuzzy control theory is designed to eliminate the problem of the hopping gap at the cut-off point of barometric pressure measurement. After the processing of the fuzzy control algorithm, the measurement accuracy of the capacitance diaphragm gauge is improved, and the barometric pressure measurement data curve has good continuity in the whole range.

     

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