Model Predictive Control based on Dynamics Matrix embedded in a Programmable Logic Controller

Industries rely on numerous processes that require effective control. Whereas conventional controllers are commonly used, they may not be suitable for highly complex processes. In such cases, a feasible solution is to employ model predictive control (MPC), which may offer advanced capabilities to effectively regulate complex processes and optimize performance. This paper focuses on the study and the development of a MPC based on dynamic matrix control (DMC), which is implemented within a programmable logic controller (PLC). In order to evaluate the performance of the controller, a B&R Automation commercial PLC and a didactic level plant were employed. A comparison was made between the real process results and the simulation outcomes obtained using Matlab (R) software.