Embedded generalize predictive controller for a micro-grid DC system

The implementation of renewable energy systems is a growing activity, due to lack of nature reserves, the pollution excess, and the continuous demand in the use of energy supply for the common life needs. This means that people must change the way they use the environmental resources to get energy, using instead green recourses as that provided by wind or solar sources. Therefore, this work shows the results obtained by perform a generalized predictive control in an embedded system, as one of predictive control theories in a micro grids system. The data used in the controller design and simulation were collected during a meteorological study made with the weather station of the regional environmental authority (CAR), located in Nueva Granada Military University´s Campus at Cajica, Colombia. This control is implemented because it uses few parameters, and adopts strategies of multi-step prediction, receding-horizon optimization, and feedback correction, which has good tracking characteristic and reduces on-line calculations of control algorithm. Based on the discrete controlled autoregressive integrated moving average (CARIMA) model, the control algorithm was combined with adaptive estimation, which made control system possess of excellent robust and intelligent capability.

Angie Julieth Valencia Castañeda: was born in Bogotá, Colombia, in 1994. She received the B.S degree in Mechatronics engineering from the University Militar Nueva Granada, Colombia, in 2015.  In this year, she joined the Davinci Group at the Militar Nueva Granada University, Colombia, as researching assistant. Her current research interests include Control System, Quadrotor prototype, Robotics, and Optimization.

Mauricio Felipe Mauledoux Monroy: was born in Bogotá, Colombia, in 1982. He received the B.S degree in Mechatronics engineering from the Nueva Granada Military University, Colombia, in 2005. In 2008 as a student of the Master in Information Technologies and Intelligent Systems in the St. Petersburg State Polytechnic University, Russia, at the automatic and intelligent distributed control department, he was promoted to a Ph.D. student. In 2011 He received the Ph.D. degree in Mathematical models, numerical methods and software systems (Red Diploma) from the St. Petersburg State Polytechnic University, Russia. In 2012, he joined the Department of Mechatronics Engineering at the Nueva Granada Military University, Colombia, as an Assistant Professor. His current research interests include Robotics, Automatic Control, Multi-agent Systems, Smart Grids and Optimization.

Oswaldo Rivera Rincón: was born in Girardot, Colombia, in 1993. He received the B.S degree in Mechatronics engineering from the University Militar Nueva Granada, Colombia, in 2016.  In this year, he joined the Davinci Group at the Militar Nueva Granada University, Colombia, as research assistant. His current research interests include Control System, Robotics, Optimization and Biomechatronics.

 Edgar Alfredo Portilla-Flores: Received his B.Sc. in Electronics Engineering in 1992 (Universidad Autónoma Metropolitana from México), an M.Sc. Degree in Mechanical Engineering from the Instituto Tecnológico de Puebla (México, 2002), a PhD in Electrical Engineering from the Centro de Investigacion y Estudios Avanzados of the Instituto Politécnico  Nacional (Mexico, 2006) and postdoctoral stay at the Universidade Estadual de Campinas (Brazil, 2012). He is a full-time Research Professor at the Centro de Innovación Desarrollo Tecnológico en Cómputo at the Instituto Politécnico Nacional in Mexico City. His areas of interest are related to the optimum design of mechatronic systems and the application of bio-inspired algorithms for the solution of engineering problems.

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CARIMA, Generalized Predictive Control, Micro Grids and Renewable Energy.