Model Predictive Control for Y-source Boost DC-DC Converter

Jean Thomas

Abstract

Recently a new topology called Y-source impedance network has been proposed to enhance the performance of boost dc-dc converters. The Y-source boost dc-dc converter has shown its ability to offer high gain voltage with small duty ratio. This paper presents an algorithm based on Model Predictive Control (MPC) to control the Y-source boost DC-DC converter. An analytical MPC algorithm reducing the computation time is proposed. Using this technique a fast response and steady state output can be achieved. Besides, the proposed controller controls directly the switch position, so Pulse-Width Modulation (PWM) is not required in this technique. The proposed algorithm offer optimal solution in reasonable time and it is not considered as a computation burden, thus real-time implementation is possible; overcoming the inherent drawback of classical MPC controller. Simulation results, demonstrating the controller capabilities to produce the required high gain voltage, are presented.

References

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Paper Citation


in Harvard Style

Thomas J. (2016). Model Predictive Control for Y-source Boost DC-DC Converter . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 275-280. DOI: 10.5220/0006006302750280


in Bibtex Style

@conference{icinco16,
author={Jean Thomas},
title={Model Predictive Control for Y-source Boost DC-DC Converter},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={275-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006006302750280},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Model Predictive Control for Y-source Boost DC-DC Converter
SN - 978-989-758-198-4
AU - Thomas J.
PY - 2016
SP - 275
EP - 280
DO - 10.5220/0006006302750280