Development of a data-based hardware in the loop system for teaching control subjects

Abstract

Hardware in the loop schemes are widely used due to the advantages they offer in environments where it is hard to test the control system for a process. These facilities can be used in control training and education environments; thus they offer flexibility on testing system stages. Data-based hardware in the loop system is developed in the present work and implemented on a low-cost embedded device. A study case is presented where a motor-generator model is built through artificial neural networks. The system is validated by tuning and testing a closed-loop controller where the process variable is generator voltage.