Implementation of first order model reference adaptive control (MRAC) on regulating temperature of essential oil extraction process

Abstract

This paper presents the performance of proportional-integral-derivative (PID) controller and Model Reference Adaptive Controller (MRAC) on regulating essential oil extraction process. The quality of essential oil will reduce if the extraction process expose to overheating of temperature. AutoRegressive with Exogenous Input (ARX) model represent as heating process plant. Heating process is important thing in the essential oil extraction and became challenging for industrial to control the temperature at the desired temperature. Besides, quality of essential oil will reduce if the extraction process expose to overheating of temperature. Generally, conventional PID controller that commonly used in control system is not provided a desired output performance. Implementation of MRAC by using Lyapunov approach in the system gives better response than conventional PID controller. Model reference of the system was developed based on first order plus dead time (FOPDT). In addition, ±0.1 is the best selection for adaptation gain of MRAC system. Result shows that MRAC controller was able to minimize its overshoot and robust in performance better than conventional PID controller. Conventional PID controller provided faster time taken in rise time, 1760 sec to initially reach the set point compared to MRAC, 2500 sec but MRAC takes in short time to settle the response, 4460 sec compared to PID, 7220 sec. The comparison of output response between both controllers was obtained by using transient analysis and performance indices in MATLAB/Simulink.