Temperature regulation for distillation process using self-tuning fuzzy plus PID controller

• Published in: Journal of Physics: Conference Series
• Main Author: Suhaime N.F.A.; Muhammad Z.; Yusoff Z.M.; Leh N.A.M.; Hashim M.H.C.; Zaki M.A.
• Format: Conference paper
• Language: English
• Published: Institute of Physics Publishing 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077799445&doi=10.1088%2f1742-6596%2f1349%2f1%2f012117&partnerID=40&md5=b3262565da3547480a77c923da24ca20

This paper presents a self-tuning fuzzy logic controller plus PID controller that applied for essential oil extraction process. The most popular technique in extraction essential oil is using steam distillation. This method is lack to the process requirement and also towards parameter change. In order to regulate the steam distillation at desired extraction condition, the controller needs to integrate to the plant. By using auto regressive model with external input (ARX) model structure, the temperature of steam was successfully modelled with best fit 98.42%. This model was successfully representing the system during controller simulation work. There are several controllers that demonstrated in this project which are self-tuning fuzzy PID controller (STFPID) and conventional PID. Both controller will compare their performance in terms of system response which are percent overshoot (%OS), settling time (Ts) and also rise time (Tr). As the result, the STFPID with seven membership function gives the best performance compared to PID controller. © Published under licence by IOP Publishing Ltd.