DESIGN AND IMPLEMENTATION OF BOILER TEMPERATURE CONTROL ON MINI DISTILLATION COLUMN USING MODEL PREDICTIVE CONTROL

• Main Author: Harjamulya, Handy
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/41802
• Institution: Institut Teknologi Bandung

The development of smart manufacturing encourages the change industrial pyramid into a Cyber Physical System (CPS). CPS is a smart system that is able to connect between computational devices and physical devices in system. Industry process of Distillation is one of the industry that has implemented CPS. Distillation process is a process of separating two or more mixtures by heating it up around its boiling point then condensing it to obtain the desired concentration of the distillate solution. One of the most important components in distillation process is the boiler or heater. Boiler has a very important role, where the evaporation process takes place. By selecting the proper boiling point, the desired concentration of distillate will be achieved. In this research, 3 scenarios for controlling boiler temperature are performed to get the best distillation concentration and volume. Kalman Filter is also used to estimate states model and to overcome the disturbance or noise in model or sensor. The implementation results at 100% ratio reflux shows that scenario 1 produces 71% distillate concentration and 720 ml volume, scenario 2 produces 72% distillate concentration and 750 ml volume, whereas scenario 3 produces 79% distillate concentration and 750 ml volume. From those scenarios, it can be concluded that scenarios 1 and 2 have advantages in small operating time and boiler energy. However, in scenario 3 the purity of concentration is guaranteed although with a large operating time and energy.