Design of PID Disturbance Observer with Neuro Fuzzy Inverse Model for Precise Temperature Control in Infant Incubator

摘要

An infant incubator is a device that is often used in hospitals that serves to maintain the infant's body temperature, especially for premature babies to always be warm. The function of the incubator is very necessary since the growth and development of premature babies is still not perfect, causing the baby's condition vulnerable to health problems. Therefore, temperature control in an infant incubator is the most vital function to keep the temperature warm at a certain level. This study compared 3 controllers namely On-Off control, PID control, and PID-DOB control (PID Disturbance Observer) in controlling temperature at 35°C. The three controllers were given disturbance in the form of 4 variations in outside air temperature so that it affected the ambient temperature inside the incubator. The performance of the three controllers was calculated using the Integral Time Absolute Error (ITAE) criteria. The test results showed that the mean values of ITAE for On-Off control, PID control, and PID-DOB control were 486.353, 71.7314, and 1.5812, respectively. From these results it could be concluded that the PID-DOB control was the most effective control in regulating the ambient temperature in the incubator so that it was resistant to disturbance in the form of outside air temperature variations.