Input and State Constrained Nonlinear Predictive Control - Application to a Levitation System

Joanna Zietkiewicz

2014

Abstract

The subject of the article concerns a constrained predictive control with feedback linearization (FBL) applied for multiple-input and multiple-output (MIMO) system. It relies on finding a compromise in every step between feasible and optimal linear quadratic (LQ) control by minimization of one variable. Behaviour of model signals in function of minimized variable is investigated, in order to assure the optimality of the solution. LQ control based applications for feedback linearized models do not meet the problem of choosing weights in linear quadratic cost function. That important problem is solved here by comparison of the cost function with that obtained for the linear approximated system in the operating point. That provides satisfactory behaviour and also justifies the simplified approach relied on minimization of only one variable for MIMO system.

Paper Citation

in Harvard Style

Zietkiewicz J. (2014). Input and State Constrained Nonlinear Predictive Control - Application to a Levitation System . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 274-279. DOI: 10.5220/0005055502740279

in Bibtex Style

@conference{icinco14,
author={Joanna Zietkiewicz},
title={Input and State Constrained Nonlinear Predictive Control - Application to a Levitation System},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={274-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005055502740279},
isbn={978-989-758-039-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Input and State Constrained Nonlinear Predictive Control - Application to a Levitation System
SN - 978-989-758-039-0
AU - Zietkiewicz J.
PY - 2014
SP - 274
EP - 279
DO - 10.5220/0005055502740279