{"title":"基于模糊逻辑的风冷系统控制","authors":"S. Sukiran, Arief Marwanto, S. Alifah","doi":"10.12928/JTI.V6I1","DOIUrl":null,"url":null,"abstract":"A comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed. comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"CONTROL OF AIR COOLING SYSTEM BASED ON FUZZY LOGIC\",\"authors\":\"S. Sukiran, Arief Marwanto, S. Alifah\",\"doi\":\"10.12928/JTI.V6I1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed. comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. 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引用次数: 2
摘要
一个房间里舒适的活动取决于环境。温度和湿度被认为是影响空调性能的重要因素。本研究旨在设计并搭建一个原型风冷控制器，即风机，可以根据温度和湿度条件控制风机的转速。本研究使用arduino uno R3微控制器和DHT 22传感器检测房间的温度和湿度，PIR传感器检测房间中人的存在。采用Sugeno模糊逻辑方法进行决策，并由单片机进行处理。通过人工计算、matlab仿真和样机测试进行了测试。结果表明，温度检测的平均精度为3.89%，极差为1.99%;湿度检测的平均精度为3.21%，极差为2.49%。该系统能够基于模糊逻辑对冷却风扇的风扇进行自动控制。因此，所提出的原型模型是可以进行工作的。一个房间的舒适活动取决于环境。温度和湿度被认为是影响空调性能的重要因素。本研究旨在设计并搭建一个原型风冷控制器，即风机，可以根据温度和湿度条件控制风机的转速。本研究使用arduino uno R3微控制器和DHT 22传感器检测房间的温度和湿度，PIR传感器检测房间中人的存在。采用Sugeno模糊逻辑方法进行决策，并由单片机进行处理。通过人工计算、matlab仿真和样机测试进行了测试。结果表明，温度检测的平均精度为3.89%，极差为1.99%;湿度检测的平均精度为3.21%，极差为2.49%。该系统能够基于模糊逻辑对冷却风扇的风扇进行自动控制。因此，所提出的原型模型是可以进行工作的。
CONTROL OF AIR COOLING SYSTEM BASED ON FUZZY LOGIC
A comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed. comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed.
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