Fuzzy Logic Algorithm for Manned Modules Temperature and Humidity Control using EcosimProR

Intelligent systems are one of the most important branches of the computer world. Computers are expected to be able to solve various problems in the real world, not just a tool for doing calculations. To make this system, algorithms are needed that are in accordance with the problems faced so that they can solve or produce the decisions needed to solve these problems appropriately. Mamdani fuzzy logic algorithm is one of the algorithms that can be applied in intelligent systems. Fuzzzy mamdani algorithm, is one part of the Fuzzy Inference System which is useful for making the best conclusion or decision in an uncertain problem. This research focuses on the calculation of the fuzzy logic algorithm in providing answers to the uncertainties found in smart home systems used to control the speed of a fan and lights, while the factors that become uncertain in controlling a fan are room temperature and humidity and For lamps, they have a factor of light intensity and time of the region, for these factors, the researchers use the Humanity Guide Hygiene standard reference for humidity and the Regulation of the Minister of Health of the Republic of Indonesia Number 1077 / Menkes / Per / V / 2011 concerning Guidelines for Air Sanitation in Home Spaces. Through this research, it can be seen that using the mamdani fuzzy logic algorithm can provide a result in the form of a decision to determine how fast a fan should rotate based on the temperature and humidity factors in the room as well as the level of light intensity that the lights must emit.

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KONTROL PEMAKAIAN PERALATAN ELEKTRONIK BERBASIS MIKROKONTROLER DAN ALGORITMA FUZZY MAMDANI

Jurnal RESISTOR (Rekayasa Sistem Komputer) ◽

10.31598/jurnalresistor.v3i2.646 ◽

2020 ◽

Vol 3 (2) ◽

pp. 94-107

Author(s):

Chyquitha Danuputri ◽

Lukman Hakim ◽

Willy Stevanus Susilo ◽

Fernando Dedi Samuel

Keyword(s):

Fuzzy Logic ◽

Electric Current ◽

Intelligent System ◽

Time Zone ◽

Fuzzy Logic Algorithm ◽

Fuzzy Input ◽

Temperature And Humidity ◽

Control Automation ◽

Calculation Results ◽

Input Variables

Excessive use of electricity had some negative impacts. In this research, the Arduino ESP32 integrated with the WiFi module, the PZEM-004T V3.0 electric current sensor to detect the electric current used, DHT22 temperature sensor to measure the temperature and humidity of the room air, BH1750 light sensor to measure the intensity of light entering the room and SPDT Relay connected between the microcontroller and the lamp. Mamdani Fuzzy Logic Algorithm which was a cryptic system as part of the intelligent system methodology applied to control automation in fans with fuzzy input variables was temperature and humidity as well as the automation of lamp usage applied fuzzy logic mamdani with fuzzy input variables were the intensity of incoming light and the time zone. Defuzzy's calculation results based on rules and have been tested on fan and lamp automation obtained 100% accuracy. Aside from being automatic, this system were also applied manual control through the Blynk application only to the function (ON / OFF) and monitored real time electricity usage in the IDR value remotely with the Internet of Things method based on Microcontroller and IOS or Android. This research could help homeowners in saving electricity.

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Numerical Analysis of Fuzzy Logic Temperature and Humidity Control System in Pharmaceutical Warehouse Using MATLAB Fuzzy Toolbox

Lecture Notes in Mechanical Engineering - Intelligent Manufacturing & Mechatronics ◽

10.1007/978-981-10-8788-2_56 ◽

2018 ◽

pp. 623-629 ◽

Cited By ~ 4

Author(s):

Nurainaa Elias ◽

Nafrizuan Mat Yahya ◽

Er Hong Sing

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Numerical Analysis ◽

Humidity Control ◽

Temperature And Humidity

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Fuzzy Logic Implementation to Control Temperature and Humidity in a Bread Proofing Machine

Indonesian Journal of Artificial Intelligence and Data Mining ◽

10.24014/ijaidm.v1i2.5664 ◽

2018 ◽

Vol 1 (2) ◽

pp. 66

Author(s):

Aulia Ullah ◽

Oktaf Brillian Kharisma ◽

Imam Santoso

Keyword(s):

Fuzzy Logic ◽

Raw Materials ◽

Percentage Error ◽

Test Results ◽

Control Temperature ◽

Fuzzy Logic Algorithm ◽

Production Processes ◽

Temperature And Humidity ◽

Bread Production ◽

Examination Room

Factors that need to be considered of producing good quality bread are raw materials, balance formulas (recipes) and production processes. The bread dough that cannot proof perfectly has become a problem in the process of bread production. Therefore, the temperature and humidity of the room must be controlled at a certain temperature range. The solution of this problem is proposing a controller that uses Fuzzy logic to control temperature and humidity in the bread examination room. A bread proofing machine is added a controller such as evaporator that it is can controlled the temperatur and humidity automatically. The heat and steam produced are regulated using a Fuzzy logic algorithm embedded in the microcontroller with a predetermined set point of temperature and humidity is 35 oC and 80%. The test is done by determining the percentage error from the temperature and humidity test results, that is when the machine is free of load obtained the percentage error to set points is 0,429 % and 0,937 %. While the engine is loaded. It gives the results are 0,024 % and 0,015%. The results of this test prove that controlling temperature and humidity in a bread proofing machine using Fuzzy logic can provide good results compared to conventional controllers. as a result, the bread mixture can expand uniformly.

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