Advanced Controllers for Level Processes: Hardware-in-the-Loop Technique

Abstract

One of the most important variables in the automation process is the liquid level; therefore, this work presents the design of advanced control algorithms such as model-based predictive control and fuzzy for a level process with multiple inputs and multiple outputs. These will be implemented under the hardware-in-the-loop technique. Where each controller is distributed in embedded devices (Raspberry Pi 4), in turn the mathematical model that presents the dynamics of the process is located in a main computer, in which a virtual environment is developed to contribute with a more realistic representation of the process. This is done in order to evaluate the behavior of the process, as well as to assess the performance of each control algorithm implemented. Finally, the experimental results obtained are presented, based on previously established parameters, which allow the identification of the controller with the best efficiency for process optimization.