IMPLEMENTASI MIKROKONTROLER DAN FUZZY LOGIC PADA INKUBATOR BAYI
| Main Author: | MARAUSNA, GAGUK |
|---|---|
| Format: | Thesis NonPeerReviewed |
| Terbitan: |
, 2011
|
| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/15941/ |
Daftar Isi:
- While still in the womb, premature infants alive in the mother's abdomen with the same temperature with his mother's body temperature (36oC - 37°C). When newly born, premature infants have not been able to adjust to the temperature outside the mother's abdomen. Therefore, premature infants should be assisted to adjust to the new environment by putting them into the incubator. Infant incubator temperature is slowly lowered so that it can make your baby feel comfortable. Infant incubator temperature and humidity are the main parameters needed by the infant in an incubator. To maintain the required temperature stability control system design that has input linear or non-linear inputs to make control decisions. Fuzzy Logic is one method that can provide control systems that mimic human decision-making. In the process of designing this plant, used fuzzy logic control system development using the Atmega microcontroller system 8535 and the temperature sensor SHT11. In this temperature control for heating and lighting use fans for cooling the room in case of excessive temperatures. LCD interface is used to display data that measured the temperature and humidity. To enter the desired temperature value used 4x4 keypad. Minimum allowable setpoint temperature is 24oC and maximum temperature is 45°C. From the results of experiments conducted by observing the data of moisture, temperature, and PWM are sent from the microcontroller to the computer via a radio connection, shows that the fuzzy logic control systems can reduce errors that occur on the system is better than the incubator without using the control system.