Design of Rice Dryer Automation System Using Fuzzy MIMO Method

Gamma Aditya Rahardi, W. Widjonarko, Satryo B Utomo
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引用次数: 1

Abstract

Rice is one of the most important cultivated plants in human civilization. One of the most important post-harvest processes is drying. Therefore, we need a drying process with an artificial heat source that can be adjusted to achieve constant heat according to the temperature characteristics of the rice. By applying the Fuzzy-MIMO control system, rice drying is expected to work quickly without damaging the rice foam. Fuzzy-MIMO system is translated into a rule based on the fuzzy algorithm that has been created. The fuzzy-MIMO method used is the Sugeno method with input temperature errors and humidity errors and outputs in the form of heat and wind gusts. The temperature sensor used has an error factor of 3.61%. The expected control system is a heating system and a motor to regulate the wind gusts in the drying chamber. The total drying time produced is 240 seconds with a moisture content of 15.2%. Drying time is influenced by the initial moisture content of rice.
基于模糊MIMO方法的大米烘干机自动化系统设计
水稻是人类文明中最重要的栽培植物之一。收获后最重要的工序之一是干燥。因此,我们需要一种有人工热源的干燥工艺,可以根据大米的温度特性进行调节,实现恒温。通过应用模糊多输入多输出控制系统,大米干燥有望在不破坏大米泡沫的情况下快速完成。基于所建立的模糊算法,将模糊多输入多输出系统转化为规则。所使用的模糊多输入多输出方法是Sugeno方法,输入温度误差和湿度误差,输出热量和阵风。所采用的温度传感器误差系数为3.61%。预期的控制系统是一个加热系统和一个电机来调节干燥室的阵风。总干燥时间为240秒,含水率为15.2%。干燥时间受大米初始含水量的影响。
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