Agarwood Distillation Pot Via PID and Self-tuning Fuzzy Control

Abstract

Maintaining good control over water temperature is important to ensure the best quality of Agarwood product is obtained. Proportional-Integral-Derivative (PID) controller and Fuzzy Logic Controller (FLC) are widely used in this industry to control the plant’s water temperature at its optimum. In this research, the study objective is to estimate the transfer function of water temperature of small-scaled Agarwood distillation pot through Pseudo-Random Binary Sequence (PRBS) and Random Gaussian Signal (RGS) perturbation input signal, evaluate the efficiency of the estimated transfer function, and to design the controller using PID and FLC tuning method then comparing its control performance. Then, the comparative study between PID and FLC is demonstrated based on the PRBS and RGS perturbation input signal. Furthermore, model linearization and estimation are applied based on the input-output data during the modelling of the dynamic system. Both perturbation input signals’ transfer function were evaluated based on the value of FIT, MSE, and FPE. Then, performance comparison between PID and FLC was evaluated based on their rise time (Tr), settling time (Ts), and percentage of overshoot (%OS). The result obtained shows that the FLC with PRBS input signal provided the best overall performance with the rise time, Tr was 2149s, settling time, Ts was 2695s, and the percentage of overshoot, %OS was 1.965%.