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Research on a Method of Statistical Adaptive Increment Control Based on Control-Cell and Its Effectiveness Analysis

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Abstract:

In terms with the characteristic of real-time control, a method of statistical adaptive increment control based on control-cell is set up. The method is the combination of periodical statiatics of detected data and intelligent control method. It takes the control cycle as control-cell and fractionizes the real-time control requirement into some quantization control state. Meanwhile, the proportional relationship between the control parameters and the control increments is identified, and the statistical adaptive increment controller was obtained. By analyzing the relative projection adjustable increment of effective configuration of extended control-cell, it is proved that this method can converge to a statistical optimization and can be interference-free. This design is simple to microprogramming, which not only has faster computing, but also has high efficiency for analogue control. Using the controlling method, the temperature of beer fermentation jar is controlled rapidly and stably.

Keywords: CONTROL-CELL; CONVERGENCE; DISTRIBUTED CONTROL SYSTEM; INTELLIGENT CONTROL

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2272

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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