With the advent of the smart grid and renewable energy era, electric power conversion systems have regained a lot of attention recently. In particular, it turned out that power electronic converters play a pivotal role in them. Therefore, it is crucial to develop advanced control techniques to regulate the output of the power converters to a given reference robustly and efficiently. Especially, it is required to design an advanced model based control scheme taking the inherent nonlinearity and input constraints in the converter models into account.
This talk presents an observer-based one step ahead MPC (Model Predictive Control) scheme for DC-DC converters which is modeled as an input-constrained bilinear model. To this end, an input-to-state stabilizing one step ahead MPC is proposed such that it minimizes a quadratic energy function of tracking error. In addition, an observer design method tailored to the converter model is presented using an LMI. Finally, it is shown that the closed loop system is stable and the output tracks the reference successfully. Simulation and experiment results show that the proposed control scheme efficiently and robustly achieves the control objectives.
He received his Ph.D. degrees in electrical engineering from Korea University, in 2005. He was a post-doc at CDSL, Seoul National University in 2005, at IST, University of Stuttgart, Germany, in 2006-2007, and Systems Biology Lab., University of Leicester, United Kingdom, in 2008. Since 2009 he has been with the Dept. of electrical and information engineering, Seoul National University of Science and Technology, as an assistant professor. In 2013, he is a visiting research scholar at IST, University of Stuttgart during the Sabbatical leave. His research interest includes adaptive and predictive control, control of power electronics, multi-agent systems, and nonlinear observers.