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  • fogpc

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Eigenvalue analysis and case study examples of fractional order generalised predictive control

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date11/11/2019
Host publication25th IEEE International Conference on Automation and Computing (ICAC)
PublisherIEEE
Number of pages6
ISBN (electronic)9781861376657
ISBN (print)9781728125183
<mark>Original language</mark>English
Event25th IEEE International Conference on Automation and Computing (ICAC) - Lancaster, United Kingdom
Duration: 5/09/20197/09/2019

Conference

Conference25th IEEE International Conference on Automation and Computing (ICAC)
Country/TerritoryUnited Kingdom
CityLancaster
Period5/09/197/09/19

Conference

Conference25th IEEE International Conference on Automation and Computing (ICAC)
Country/TerritoryUnited Kingdom
CityLancaster
Period5/09/197/09/19

Abstract

This article concerns a previously developed, Fractional-order, Generalised Predictive Control (FGPC) approach to control system design. Here, fractional order concepts are utilised to extend the design flexibility of the FGPC algorithm, in comparison to conventional Generalised Predictive Control (GPC). The performance of FGPC is investigated via Monte Carlo simulation. With a focus on plots of the closed-loop eigenvalues, these results are utilised to develop recommendations for how to optimise the extra design coefficients introduced in the fractional order case. One of the simulation examples involves a hydraulically actuated robotic manipulator. Finally, FGPC methods are applied to control airflow in a laboratory 1 m by 2 m by 2 m forced ventilation environmental test chamber.

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©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.