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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 6 , ISSUE 5 (December 2013) > List of articles


Zakiah Mohd Yusoff * / Zuraida Muhammad / Mohd Hezri Fazalul Rahiman / Mohd Nasir Taib

Keywords : distillation, essential oil, hydro-diffusion system, self-tuning fuzzy PID

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 5, Pages 2,055-2,074, DOI:

License : (CC BY-NC-ND 4.0)

Received Date : 11-August-2013 / Accepted: 16-November-2013 / Published Online: 16-December-2013



The essential oil is mostly depends on the temperature. The temperature will influence the final product of the extraction process. The existing steam distillation processes are giving less intention on this issue. This work implemented the robust self-tuning fuzzy PID (STFPID) controller to monitor the steam temperature in the hydro-diffusion essential oil extraction system. The hydro-diffusion system is built to overcome some weakness of existing systems. The effectiveness of the STFPID using 25 rules and PID controller is measured by using performance indices of settling time, rise time, percentage overshoot (%OS) and root mean square error. The step responses analysis and robustness test show that STFPID and PID controller are able to drive the steam temperature to the desired set point However, the analysis shows that STFPID produces better performances based on set point tracking and adoption of load disturbance.

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