Real-Time Implementation of Model Predictive Control in a Low-Cost Embedded Device

摘要

This document presents a general description of theimplementation of a low-cost system for flow control. Apreconditioning of the signal coming from the process to becontrolled is carried out and, through Arduino UNO, data isacquired. Using this data in the embedded board Raspberry Pi 3, apredictive control by model (MPC) has been implemented in realtime. The plant model is obtained using the identification tool ofthe MATLAB software. The design of the controller which are inthe latest version of this software, has been developed in Simulinkusing the new complements made for this board. Theexperimental results show that despite the technical limitationsand the high computational cost that this controller represents,both devices can work together and present high performance,robustness and good response in the presence of disturbances.