Konstantopoulos, G. orcid.org/0000-0003-3339-6921 and Baldivieso Monasterios, P. (2019) Nonlinear PI controller for systems with state constraint requirements. In: Proceedings of the European Control Conference 2019. European Control Conference 2019, 25-28 Jun 2019, Naples, Italy. IEEE ISBN 9781728113142
Abstract
PI control is widely applied in industrial applications to guarantee a desired regulation for both linear and nonlinear systems. However, when a state constraint requirement is needed for the plant, conventional PI controllers fail to guarantee a desired upper bound for the system states of a generic nonlinear plant at all times. In this paper, a novel nonlinear PI controller is proposed to achieve regulation with state constraint satisfaction for a class of nonlinear systems with constant disturbances. An upper bound for the desired closed-loop system states is guaranteed based on nonlinear ultimate boundedness theory and closed-loop stability is analytically proven for the desired equilibrium point. In addition, a detailed analysis is presented for the appropriate design of the proportional and integral gains of the proposed controller. A practical example of a dc/dc power converter is investigated and simulation results demonstrate the effectiveness of the proposed nonlinear PI control compared to the conventional approach.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 EUCA. This is an author-produced version of a paper subsequently published in 2019 18th European Control Conference (ECC). Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council (EPSRC) EP/S001107/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Mar 2019 13:09 |
Last Modified: | 15 Aug 2020 00:38 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.23919/ECC.2019.8795786 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144033 |