Resumen
CSTR plays a major role in many process industries and its control strategy could be very critical in achieving desirable yields, conversion, rates, and minimizing the formation of side products. CSTR control over wide operating range has been a major issue to control engineers as it exhibits a highly non-linear behavior and time varying behavior. Traditional control mechanism like PID controller although still widely used, it may not be sufficient in achieving optimum performance and robustness. In this study, Model Predictive Control (MPC) strategy is developed for a non-linear dynamic CSTR process and the performance was compared with traditional PID controller. The result shows that for a small set point change, MPC has similar performance to PID controller. Where MPC really shines is when it is subjected with a much larger set point change where the response time is 12 times faster and able to reduce up to 60% of the loop interaction. The second part of this study is to develop a design for a real-time mobile monitoring system, as a proof of concept. The overall design allows the plant engineer to get real time updates on the performance of the CSTR remotely. It will also notify the engineer when the equipment is no longer running at its full performance and generate critical analysis based on the track record of the equipment. Lastly, the real time safety alert allows accidents to be predicted ahead before it happens and all the workers to be notified in real time. This technology will immensely improve safety aspects in any plant and reduced the fatalities caused by industrial accident.