IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v142y2018icp1040-1056.html
   My bibliography  Save this article

Design & application of adaptive variable structure &H∞ robust optimal schemes in nonlinear control of boiler-turbine unit in the presence of various uncertainties

Author

Listed:
  • Ghabraei, Soheil
  • Moradi, Hamed
  • Vossoughi, Gholamreza

Abstract

In this article, to improve the precision, performance and robustness of an industrial boiler-turbine, two robust controllers are designed. First, a robust adaptive variable structure control scheme (RAVSC) is proposed to control a nonlinear multi-inputs multi-outputs (MIMO) model of an industrial boiler-turbine unit, in the presence of significant uncertainties and external disturbances. To guarantee the reliable performance of the RAVSC, appropriate adaption and control laws are introduced to compensate the uncertainties and modeling imprecisions and guarantee the convergence to the sliding surface. Then, the robustness and stability of the proposed RAVSC is proved via Lyapunov stability theory. Moreover, a robust H∞ controller is designed based on μ−DKiteration , with assumption of presence rational deviation in parameters and suitable weights to attenuate the control signals. To investigate the performance of proposed control schemes, simulation studies are carried out on nonlinear dynamic model in the presence of various uncertainties. Then, the performance of designed robust controllers exposed to discussion which reveals the satisfactory performance of the both proposed controllers. However, it is observed that RAVSC has some minor advantages over the robust H∞ controller.

Suggested Citation

  • Ghabraei, Soheil & Moradi, Hamed & Vossoughi, Gholamreza, 2018. "Design & application of adaptive variable structure &H∞ robust optimal schemes in nonlinear control of boiler-turbine unit in the presence of various uncertainties," Energy, Elsevier, vol. 142(C), pages 1040-1056.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:1040-1056
    DOI: 10.1016/j.energy.2017.10.089
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217317942
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.10.089?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Benato, Alberto & Stoppato, Anna & Mirandola, Alberto, 2015. "Dynamic behaviour analysis of a three pressure level heat recovery steam generator during transient operation," Energy, Elsevier, vol. 90(P2), pages 1595-1605.
    2. Benato, A. & Bracco, S. & Stoppato, A. & Mirandola, A., 2016. "LTE: A procedure to predict power plants dynamic behaviour and components lifetime reduction during transient operation," Applied Energy, Elsevier, vol. 162(C), pages 880-891.
    3. Fang, Fang & Wei, Le, 2011. "Backstepping-based nonlinear adaptive control for coal-fired utility boiler-turbine units," Applied Energy, Elsevier, vol. 88(3), pages 814-824, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongxia Zhu & Gang Zhao & Li Sun & Kwang Y. Lee, 2019. "Nonlinear Predictive Control for a Boiler–Turbine Unit Based on a Local Model Network and Immune Genetic Algorithm," Sustainability, MDPI, vol. 11(18), pages 1-25, September.
    2. Kong, Xiaobing & Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Lee, Kwang Y., 2023. "Stable feedback linearization-based economic MPC scheme for thermal power plant," Energy, Elsevier, vol. 268(C).
    3. Javed, Syed Bilal & Uppal, Ali Arshad & Samar, Raza & Bhatti, Aamer Iqbal, 2021. "Design and implementation of multi-variable H∞ robust control for the underground coal gasification project Thar," Energy, Elsevier, vol. 216(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Zhenlong & Li, Donghai & Xue, Yali & Chen, YangQuan, 2019. "Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions," Energy, Elsevier, vol. 185(C), pages 744-762.
    2. Wang, Chaoyang & Liu, Ming & Li, Bingxin & Liu, Yiwen & Yan, Junjie, 2017. "Thermodynamic analysis on the transient cycling of coal-fired power plants: Simulation study of a 660 MW supercritical unit," Energy, Elsevier, vol. 122(C), pages 505-527.
    3. Alberto Benato & Alarico Macor, 2017. "Biogas Engine Waste Heat Recovery Using Organic Rankine Cycle," Energies, MDPI, vol. 10(3), pages 1-18, March.
    4. Marek Jaszczur & Michał Dudek & Zygmunt Kolenda, 2020. "Thermodynamic Analysis of Advanced Gas Turbine Combined Cycle Integration with a High-Temperature Nuclear Reactor and Cogeneration Unit," Energies, MDPI, vol. 13(2), pages 1-16, January.
    5. Taler, Dawid & Dzierwa, Piotr & Kaczmarski, Karol & Taler, Jan, 2021. "Optimisation of heating and cooling of pressure thick-walled components operating in the saturated steam area," Energy, Elsevier, vol. 231(C).
    6. Alarico Macor & Alberto Benato, 2020. "Regulated Emissions of Biogas Engines—On Site Experimental Measurements and Damage Assessment on Human Health," Energies, MDPI, vol. 13(5), pages 1-38, February.
    7. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    8. Adams, T. & Mac Dowell, N., 2016. "Off-design point modelling of a 420MW CCGT power plant integrated with an amine-based post-combustion CO2 capture and compression process," Applied Energy, Elsevier, vol. 178(C), pages 681-702.
    9. Rossi, Iacopo & Sorce, Alessandro & Traverso, Alberto, 2017. "Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach," Applied Energy, Elsevier, vol. 190(C), pages 880-890.
    10. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    11. Bracco, Stefano & Delfino, Federico, 2017. "A mathematical model for the dynamic simulation of low size cogeneration gas turbines within smart microgrids," Energy, Elsevier, vol. 119(C), pages 710-723.
    12. Young-Kwang Park & Seong-Won Moon & Tong-Seop Kim, 2021. "Advanced Control to Improve the Ramp-Rate of a Gas Turbine: Optimization of Control Schedule," Energies, MDPI, vol. 14(23), pages 1-23, December.
    13. Zhang, Jianhua & Zhou, Yeli & Li, Ying & Hou, Guolian & Fang, Fang, 2013. "Generalized predictive control applied in waste heat recovery power plants," Applied Energy, Elsevier, vol. 102(C), pages 320-326.
    14. Gang Zhao & Yuge Sun & Zhi-Gang Su & Yongsheng Hao, 2023. "Receding Galerkin Optimal Control with High-Order Sliding Mode Disturbance Observer for a Boiler-Turbine Unit," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    15. Napole, Cristian & Derbeli, Mohamed & Barambones, Oscar, 2021. "A global integral terminal sliding mode control based on a novel reaching law for a proton exchange membrane fuel cell system," Applied Energy, Elsevier, vol. 301(C).
    16. Shi, Yan & Zhong, Wenqi & Chen, Xi & Yu, A.B. & Li, Jie, 2019. "Combustion optimization of ultra supercritical boiler based on artificial intelligence," Energy, Elsevier, vol. 170(C), pages 804-817.
    17. Alobaid, Falah & Al-Maliki, Wisam Abed Kattea & Lanz, Thomas & Haaf, Martin & Brachthäuser, Andreas & Epple, Bernd & Zorbach, Ingo, 2018. "Dynamic simulation of a municipal solid waste incinerator," Energy, Elsevier, vol. 149(C), pages 230-249.
    18. Zhang, Hengliang & Xie, Danmei & Yu, Yanzhi & Yu, Liangying, 2016. "Online optimal control schemes of inlet steam temperature during startup of steam turbines considering low cycle fatigue," Energy, Elsevier, vol. 117(P1), pages 105-115.
    19. Benato, A. & Bracco, S. & Stoppato, A. & Mirandola, A., 2016. "LTE: A procedure to predict power plants dynamic behaviour and components lifetime reduction during transient operation," Applied Energy, Elsevier, vol. 162(C), pages 880-891.
    20. Roberto Pili & Hartmut Spliethoff & Christoph Wieland, 2017. "Dynamic Simulation of an Organic Rankine Cycle—Detailed Model of a Kettle Boiler," Energies, MDPI, vol. 10(4), pages 1-28, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:142:y:2018:i:c:p:1040-1056. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.