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Authors: Mandar Joshi 1 ; Vishwesh Vyawahare 2 and Mukesh Patil 2

Affiliations: 1 Government College of Engineering, India ; 2 Ramrao Adik Institute of Technology, India

Keyword(s): Predictive Control, Fractional Calculus, Fractional Systems, Integer-order Approximation, Internal Model Control.

Related Ontology Subjects/Areas/Topics: Dynamical Systems Models and Methods ; Formal Methods ; Mathematical Simulation ; Simulation and Modeling

Abstract: A widely recognized advanced control methodology model predictive control is applied to solve a classical servo problem in the context of linear fractional-order (FO) system with the help of an approximation method. In model predictive control, a finite horizon optimal control problem is solved at each sampling instant to obtain the current control action. The optimization delivers an optimal control sequence and the first control thus obtained is applied to the plant. An important constituent of this type of control is the accuracy of the model. For a system with fractional dynamics, accurate model can be obtained using fractional calculus. One of the methods to implement such a model for control purpose is Oustaloup’s recursive approximation. This method delivers equivalent integer-order transfer function for a fractional-order system, which is then utilized as an internal model in model predictive control. Analytically calculated output equation for FO system has been utilized to represent process model to make simulations look more realistic by considering current and initial states in process model. The paper attempts to present the effect of modeling and approximations of fractional-order system on the performance of model predictive control strategy. (More)

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Paper citation in several formats:
Joshi, M.; Vyawahare, V. and Patil, M. (2014). Model Predictive Control for Fractional-order System - A Modeling and Approximation Based Analysis. In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-038-3; ISSN 2184-2841, SciTePress, pages 361-372. DOI: 10.5220/0005038203610372

@conference{simultech14,
author={Mandar Joshi. and Vishwesh Vyawahare. and Mukesh Patil.},
title={Model Predictive Control for Fractional-order System - A Modeling and Approximation Based Analysis},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2014},
pages={361-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005038203610372},
isbn={978-989-758-038-3},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Model Predictive Control for Fractional-order System - A Modeling and Approximation Based Analysis
SN - 978-989-758-038-3
IS - 2184-2841
AU - Joshi, M.
AU - Vyawahare, V.
AU - Patil, M.
PY - 2014
SP - 361
EP - 372
DO - 10.5220/0005038203610372
PB - SciTePress