咖啡干燥系统的扩展模糊规则集

Z. Situmorang, Retantyo Wardoyo
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引用次数: 1

摘要

扩展模糊规则Suram是一种通过修改模糊隶属函数{0.5,1]的值来控制以柴油为能源的干燥系统的算法。对于太阳能咖啡烘干室控制系统,冷规则是基于模糊逻辑的,包含天气、空调和风速变量。将该算法应用于咖啡干燥过程。状态变量隶属函数用误差值和误差变化表示,用典型的天气变量、空气条件的三角梯形图表示,风速用风速表示。对实验结果进行分析,采用16条模糊规则根据天气条件控制系统输出,得到了通过加热使电能消耗最小化来实现太阳能利用的优化。该算法还通过控制咖啡室,即通过温度和湿度控制来调整咖啡干燥计划。应用结果表明,该算法的电能效率达到40.86%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extended Fuzzy Rule Suram for Coffee Drying System
Extended fuzzy rule Suram is an algorithm developed to control a drying system using diesel as an energy source by modifying the value of the fuzzy membership function {0.5,1]. For a coffee drying room control system with solar energy, the bleak rule is based on fuzzy logic with variables of weather, air condition and wind speed. This algorithm is applied to the coffee drying process. The state variable membership function is represented in error values ​​and changes in error with a typical triangular and trapezoidal map for weather variables, air conditions, while wind speed is expressed in terms of wind speed. The results of the analysis of experiments with 16 fuzzy rules to control system output according to weather conditions obtained optimization of the use of solar energy by minimizing the use of electrical energy by heating. This algorithm also adjusts the coffee drying schedule by controlling the chamber, namely through temperature and humidity control. The results of the application of this algorithm show that the efficiency of electrical energy reaches 40,86%.
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