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Disturbance rejection of nonlinear boiler–turbine unit using high-order sliding mode observer

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journal contribution
posted on 2023-02-06, 09:09 authored by Zhi-gang Su, Gang Zhao, Jun YangJun Yang, Yi-guo Li
It is interesting and challenging to develop advanced controller for industrial boiler-turbine units due to their genuine nonlinearities, serious couplings among state variables, physical constraints imposed on control inputs, and in particular, various types of unknown uncertainties/disturbances. In this paper, a nonlinear disturbance rejection control method is investigated in a composite design manner for an oil-fired drum-type boiler-turbine unit. A baseline exponentially stable feedback controller is first designed, and then a high-order sliding mode observer is utilized to estimate and thus to compensate unknown lumped disturbances. It is shown that the obtained results for the boiler-turbine unit can be extended to a wide class of nonlinear systems. More interestingly, the finite-time stability of the closed-loop systems can be rendered in several cases. Finally, some numerical simulation scenarios are conducted on the boiler-turbine unit to demonstrate the claimed control performance.

Funding

Research on Nonlinear Suppression and Anti-interference Control Method for Super (Super) Critical Coal-fired Units

National Natural Science Foundation of China

Find out more...

Fundamental Research on Optimization Control of Low Nitrogen Combustion in Utility Boilers

National Natural Science Foundation of China

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History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Volume

50

Issue

12

Pages

5432 - 5443

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2018-11-17

Publication date

2018-12-07

Copyright date

2018

ISSN

2168-2216

eISSN

2168-2232

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 2 February 2023