Alyadris Jerri, Adrianus Inu Natalisanto, A. Zarkasi, Kholis Nurhanafi, Syahrir Syahrir
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摘要

控制阀是石油和天然气工业中依靠执行器作为驱动力来工作的工具。例如,气动执行器以空气压力作为驱动能量,气动采用标准信号。利用模糊将信号转换成电流信号作为人工智能系统在工业领域的应用。本研究使用的方法是利用模糊逻辑和Mamdani方法,并使用MATLAB软件。结果将与公司数据和P/I模拟数据进行比较。气压模糊算法系统通过注意信号使用的范围。公司数据与P/I变换器仿真数据相差不大,但得到的线方程略有不同。同时,由于模糊规则的影响,模糊逻辑数据与以前的数据略有不同。因此,通过注意所需的信号范围和规则,将模糊逻辑压力气动信号用于流量信号可以说是相当有能力在这些系统中使用的。已经测试过的比较结果,从电流信号的值与得到的误差值在2.5%以下的差异来看,数据结果相差不大。
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Analisis Perubahan Sinyal Pneumatic to Electric Menggunakan Algoritma Fuzzy Logic
Control valve is a tool in the oil and gas industry that works by relying on actuators as a driving force. For example, pneumatic actuators work with air pressure as driving energy, and standard signals are used for pneumatic. The signal is converted into a current signal using fuzzy as an application of artificial intelligence systems in the industrial sector. The method used in this study is the utilization of fuzzy logic with the Mamdani method using the software MATLAB. The results will be compared with data from companies and P/I simulation data. Pressure pneumatic algorithm system fuzzy by paying attention to the range of signals used. Company data and P/I converter simulation data are not much different, but the line equation obtained is slightly different. Meanwhile, the fuzzy logic data has slightly different data from the previous data caused by the rules of the fuzzy. Thus, the use of fuzzy logic pressure pneumatic signals to flow signals can be said to be quite capable of being used in these systems by paying attention to the range of signals and rules needed. The comparison results that have been tested have data results that are not much different based on the difference in the value of the current signal and the error value obtained below 2.5%.
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