{"title":"Robust Steam Temperature Regulation for Distillation of Essential Oil Extraction Process using Hybrid Fuzzy-PD plus PID Controller","authors":"Nurhani Kasuan, Zakariah Yusuf, Mohd Nasir Taib, Mohd Hezri Fazalul Rahiman, Nazurah Tajuddin, Mohd Azri Abdul Aziz","volume":47,"journal":"International Journal of Electrical and Information Engineering","pagesStart":1325,"pagesEnd":1331,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/759","abstract":"This paper presents a hybrid fuzzy-PD plus PID\r\n(HFPP) controller and its application to steam distillation process for\r\nessential oil extraction system. Steam temperature is one of the most\r\nsignificant parameters that can influence the composition of essential\r\noil yield. Due to parameter variations and changes in operation\r\nconditions during distillation, a robust steam temperature controller becomes nontrivial to avoid the degradation of essential oil quality.\r\nInitially, the PRBS input is triggered to the system and output of steam temperature is modeled using ARX model structure. The\r\nparameter estimation and tuning method is adopted by simulation\r\nusing HFPP controller scheme. The effectiveness and robustness of\r\nproposed controller technique is validated by real time\r\nimplementation to the system. The performance of HFPP using 25 and 49 fuzzy rules is compared. The experimental result demonstrates the proposed HFPP using 49 fuzzy rules achieves a\r\nbetter, consistent and robust controller compared to PID when considering the test on tracking the set point and the effects due to disturbance.","references":"[1] F. Sefidkon, K. Abbasi, Z. Jamzad, and S. 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