Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani

K. Fahuzan, Uke Ralmugiz
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Abstract

This research aims to establish a control system on blender by using fuzzy control system with mamdani method. In this study, researchers used input in the form of hardness level and volume of fruit to be blend, while the output is blend time (0 to 180 seconds) with assumption of constant blender velocity). Researchers used fuzzy inference control system with Mamdani method with some stages: fuzzification, inference, rule base, and defuzzification. Fuzzification changes the hardness of the fruit and the volume into a value. Inference created fuzzy output using pre-made rules. Defuzzification counted the time it takes to blend into output. Based on the results of the research, the results obtained for the sample of fruit with a level of hardness of 40%, and volume 4 (400 ml), in obtaining the minimum time required to smooth the fruit about 79 seconds. Thus the fuzzy control system can be used as an innovation to make the control system in blender. This system not only applies to blenders only, but also can be applied to other machines using fuzzy control system.
搅拌机控制系统创新的智能系统使用了模糊控制系统的方法Mamdani方法
本研究的目的是利用模糊控制系统与马姆达尼方法建立混合机的控制系统。在本研究中,研究人员以待混合水果的硬度和体积为输入,以混合时间(0 ~ 180秒)为输出,假设混合速度恒定。研究人员采用Mamdani方法将模糊推理控制系统分为模糊化、推理化、规则库化和去模糊化四个阶段。模糊化将水果的硬度和体积变成一个值。推理使用预先制定的规则创建模糊输出。去模糊化计算了融入输出所需的时间。根据研究结果,所得结果为硬度等级为40%的水果样品,体积为4 (400 ml),在获得使水果光滑所需的最短时间约为79秒。因此,模糊控制系统可以作为混合机控制系统的一种创新。该系统不仅适用于搅拌机,也可应用于其他机器的模糊控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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