Real Time Steam Temperature Regulation using Self-Tuning Fuzzy PID Controller on Hydrodiffusion Essential Oil Extraction System

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 hydrodiffusion 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.