Modelling and control of distillation plant using fractionalorder pid controller / Mohd Hezri Marzaki
Over the recent years, there has been an explosive growth of interest in the usage of essential oil. Essential oils can be obtained through various type extraction techniques that ranging from conventional to modern techniques with the most common practice approach in extraction technology using ste...
| Main Author: | |
|---|---|
| Format: | Book Section |
| Language: | English |
| Published: |
Institute of Graduate Studies, UiTM
2018
|
| Subjects: | |
| Online Access: | http://ir.uitm.edu.my/id/eprint/20490/ http://ir.uitm.edu.my/id/eprint/20490/1/ABS_MOHD%20HEZRI%20MARZAKI%20TDRA%20VOL%2013%20IGS%2018.pdf |
| Summary: | Over the recent years, there has been an explosive growth of interest in the usage of essential oil. Essential oils can be obtained through various type extraction techniques that ranging from conventional to modern techniques with the most common practice approach in extraction technology using steam distillation. Temperature is identified as the most influencing parameter in the quality of essential. Hence this study is focusing on the steam temperature control alone. The steam temperature exhibits nonlinear behaviour due to many factors. Previous studies have shown that fractional order control has the capability to handle the nonlinearity dynamic better than the conventional technique. Hence, the improvement of the control strategy is a necessary. This research presents the design of Fractional Order Proportional Integral Derivative (FOPID) with enhancement of lowpass filter and error filter for temperature regulation in a Small-Medium Industry Steam Distillation (SMISD) plant. There are several tests have been done to evaluate the performance of the developed controllers in the SMISD plant such as step test, set point change, and load disturbance test. The experiment was conducted in simulation and real-time environment. The results indicated that the system has a time constant of 796.86 s and dead time of 765.63 s. The Auto Regressive with eXogenous input (ARX) model that has been used to represent SMISD plant during the simulation study presented a good model fit with 99.24 %. The enhanced version of Model Predictive Controller (MPC) with anti-windup strategy has been introduced in this study which derived from Unconstrained MPC (UMPC) and Constrained MPC (CMPC)… |
|---|