@article{MAKHILLJEAS201914917782,
    title = {Comparative Study of Control Strategies for a Micro Grid DC System of
Renewable Energy Sources},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {9},
    pages = {2822-2829},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.2822.2829},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.2822.2829},
    author = {Oswaldo,Mauricio,Angie,Oscar and},
    keywords = {Generalized predictive control,PID,MPC,micro grid DC,nonlinear autoregressive,system},
    abstract = {This study presents a comparative study of a Generalized Predictive Controller (GPC) with a classical
Proportional-Integral-Derivative (PID) controller and the Model Predictive Controller (MPC). All these strategies
are compared on their output response, steady state error, controller effort and disturbances rejection. These
controllers were designed and evaluated to be implemented and work on a micro grid DC system located at the
Universidad Militar Nueva Granada Campus in Cajica, Colombia. Disturbances in this study were predicted by
Nonlinear Autoregressive with Exogenous Excitation Artificial Neuronal Networks Model (NARX).}
    }