Online tuning PID using fuzzy logic controller with self-tuning method

The steam temperature during the extraction process have a great influence on the essential oil quality. Lately, many of the research efforts are seen trying to develop a new control technique to regulate the steam temperature. However, PID is noted to have a simple structure, very straight forward implementation and ease to handle especially when deal with the industrial process. But, the challenges during design the PID is to tune the PID parameters gain that suite to the plant. To overcome this problem, the online tuning PID using the fuzzy logic controller with self-tuning method is utilized to regulate the steam temperature. From the result, the performance of self-tuning fuzzy PID (STFPID) demonstrated good improvement in term of process dynamic characteristic which are process rise time, process settling time, percent overshoot and steady state error. In this work, the proposal control technique has shown the ability to track any parameters changes and have fast recovery the output response during disturbance period.