Model Predictive Control: A Survey of Dynamic Energy Management

Nsilulu Mbungu, Nsilulu Mbungu, Nsilulu Mbungu, Raj Naidoo, Ramesh Bansal, Mukwanga Siti

2021

Abstract

This paper presents the structure of the model predictive control (MPC), its development and application through optimal energy system. The MPC is one of the algorithms that are used in a computer controlled environment to predict the future behaviour of an explicit process model. It is devised by computing and adjusting the next sequence of the input variables at each control interval. The MPC is an algorithm in which the challenge is to optimize the behaviour of a future plant. The optimization sequence starts by sending the first input into the plant and then at each subsequent control interval the entire computation is repeated to reach the performance index function to follow. MPC offers a variety of applications in a wide range of industries. This is due to its robustness in the optimal control design of a process. MPC is also widely used in aerospace, automotive, chemical and food processing applications. This study describes the implementation of the energy management scheme through the use of MPC design.

Paper Citation

in Bibtex Style

@conference{icinco21,
author={Nsilulu Mbungu and Raj Naidoo and Ramesh Bansal and Mukwanga Siti},
title={Model Predictive Control: A Survey of Dynamic Energy Management},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2021},
pages={123-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010522201230129},
isbn={978-989-758-522-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Model Predictive Control: A Survey of Dynamic Energy Management
SN - 978-989-758-522-7
AU - Mbungu N.
AU - Naidoo R.
AU - Bansal R.
AU - Siti M.
PY - 2021
SP - 123
EP - 129
DO - 10.5220/0010522201230129

in Harvard Style

Mbungu N., Naidoo R., Bansal R. and Siti M. (2021). Model Predictive Control: A Survey of Dynamic Energy Management. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-522-7, pages 123-129. DOI: 10.5220/0010522201230129