Fuzzy Logic Method to Control Evenly Distributed and Stable Waterbath Temperature with Four Heaters

Waterbath, Fuzzy Logic, Temperature, DS18B20

Authors

  • Rifqi Kurniawan
    Kurniawan123@gmail.com
    Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia , Indonesia
  • Syaifudin Syaifudin Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia , Indonesia
  • Lamidi Lamidi Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia , Indonesia
  • Shubhrojit Misra Department of Electronics and Telecomunication Engineering, Jadavpur University, Kolkata, INDIA, India

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 Water baths are commonly used in scientific fields to incubate samples at specific temperatures. The 
temperature of the water bath must be controlled precisely, because even the slightest temperature variation can affect the results of the experiment. It can handle imprecise, uncertain and incomplete information, making it suitable for temperature control in water baths. This research aims to determine the distribution and stability of fuzzy logic control to control the 
temperature of a water bath with four heaters. Even heat distribution from the four heaters will ensure consistent water bath temperature throughout the bath. This research uses an Arduino microcontroller to process the temperature sensor output from the DS18B20, then the processed temperature value will be displayed on the TFT LCD. The independent variable in this research is the temperature value, while the dependent variable is the DS18B20 temperature sensor. The largest error 
value from the module measurements is at a temperature setting of 30 ºC on the 2nd temperature sensor with an error value of 1.43%. Meanwhile, the smallest error value is found at a temperature setting of 35 ºC on the 1st and 4th temperature sensors with an error value of 0.01%. Data collection used a digital thermometer comparison tool with 10 repetitions as a 
temperature sensor reference tool. The results obtained using this sensor are more stable and have a high accuracy value. The results of the research show that the temperature difference between points 1 to 4 when viewed from the error percentage is very small, or it can be said that the temperature distribution is even. The conclusion from these results is that the module has a stable temperature value and the error value is low and is still within the tolerance limit. permitted is ±5%.