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Linear Active Disturbance Rejection Control of Waste Heat Recovery Systems with Organic Rankine Cycles

Author

Listed:
  • Jianhua Zhang

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Jiancun Feng

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Yeli Zhou

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Fang Fang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Hong Yue

    (Department of Electronic and Electrical Engineering, University of Strathclyde, Scotland, UK)

Abstract

In this paper, a linear active disturbance rejection controller is proposed for a waste heat recovery system using an organic Rankine cycle process, whose model is obtained by applying the system identification technique. The disturbances imposed on the waste heat recovery system are estimated through an extended linear state observer and then compensated by a linear feedback control strategy. The proposed control strategy is applied to a 100 kW waste heat recovery system to handle the power demand variations of grid and process disturbances. The effectiveness of this controller is verified via a simulation study, and the results demonstrate that the proposed strategy can provide satisfactory tracking performance and disturbance rejection.

Suggested Citation

  • Jianhua Zhang & Jiancun Feng & Yeli Zhou & Fang Fang & Hong Yue, 2012. "Linear Active Disturbance Rejection Control of Waste Heat Recovery Systems with Organic Rankine Cycles," Energies, MDPI, vol. 5(12), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:12:p:5111-5125:d:21939
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hongjin Wang & Hongguang Zhang & Fubin Yang & Songsong Song & Ying Chang & Chen Bei & Kai Yang, 2015. "Parametric Optimization of Regenerative Organic Rankine Cycle System for Diesel Engine Based on Particle Swarm Optimization," Energies, MDPI, vol. 8(9), pages 1-26, September.
    2. Kai Yang & Hongguang Zhang & Songsong Song & Fubin Yang & Hao Liu & Guangyao Zhao & Jian Zhang & Baofeng Yao, 2014. "Effects of Degree of Superheat on the Running Performance of an Organic Rankine Cycle (ORC) Waste Heat Recovery System for Diesel Engines under Various Operating Conditions," Energies, MDPI, vol. 7(4), pages 1-23, April.
    3. Shi, Rongqi & He, Tianqi & Peng, Jie & Zhang, Yangjun & Zhuge, Weilin, 2016. "System design and control for waste heat recovery of automotive engines based on Organic Rankine Cycle," Energy, Elsevier, vol. 102(C), pages 276-286.
    4. Wu, Xialai & Chen, Junghui & Xie, Lei, 2019. "Fast economic nonlinear model predictive control strategy of Organic Rankine Cycle for waste heat recovery: Simulation-based studies," Energy, Elsevier, vol. 180(C), pages 520-534.
    5. Wu, Xialai & Chen, Junghui & Xie, Lei, 2018. "Integrated operation design and control of Organic Rankine Cycle systems with disturbances," Energy, Elsevier, vol. 163(C), pages 115-129.
    6. Kai Yang & Hongguang Zhang & Songsong Song & Jian Zhang & Yuting Wu & Yeqiang Zhang & Hongjin Wang & Ying Chang & Chen Bei, 2014. "Performance Analysis of the Vehicle Diesel Engine-ORC Combined System Based on a Screw Expander," Energies, MDPI, vol. 7(5), pages 1-20, May.
    7. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    8. Songsong Song & Hongguang Zhang & Rui Zhao & Fanxiao Meng & Hongda Liu & Jingfu Wang & Baofeng Yao, 2017. "Simulation and Performance Analysis of Organic Rankine Systems for Stationary Compressed Natural Gas Engine," Energies, MDPI, vol. 10(4), pages 1-23, April.
    9. Patrick Linke & Athanasios I. Papadopoulos & Panos Seferlis, 2015. "Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review," Energies, MDPI, vol. 8(6), pages 1-47, May.
    10. Gengjin Shi & Zhenlong Wu & Jian Guo & Donghai Li & Yanjun Ding, 2020. "Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control," Energies, MDPI, vol. 13(7), pages 1-26, April.

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