Multivariable Control In Industrial Processes: Comparison Of MIMO LQR And Multi-SISO PID Techniques Applied To An Industrial Plant In Scale

Advances in industrial processes required control loops with greater integration and precision, resulting in the creation of advanced control techniques and, among them, the ones based on state space. Nevertheless, the majority of the world industry still uses classical techniques even in essentially multivariable processes. This work aims the application of modern and classic control techniques in a scale industrial plant, trying to analyze the benefits from migration to advanced control techniques and show how complex it can be. It is proposed here, the utilization of techniques such as PID, LQR and states observer, as well as the implementation of the control using OPC and Python in Festo MPS-PA scale industrial plant.