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Receding Galerkin Optimal Control with High-Order Sliding Mode Disturbance Observer for a Boiler-Turbine Unit

Author

Listed:
  • Gang Zhao

    (The National Engineering Research Center of Power Generation Control and Safety, School of Energy and Environment, Southeast University, Nanjing 210018, China)

  • Yuge Sun

    (The National Engineering Research Center of Power Generation Control and Safety, School of Energy and Environment, Southeast University, Nanjing 210018, China)

  • Zhi-Gang Su

    (The National Engineering Research Center of Power Generation Control and Safety, School of Energy and Environment, Southeast University, Nanjing 210018, China)

  • Yongsheng Hao

    (The National Engineering Research Center of Power Generation Control and Safety, School of Energy and Environment, Southeast University, Nanjing 210018, China)

Abstract

The control of the boiler-turbine unit is important for its sustainable and robust operation in power plants, which faces great challenges due to the control unit’s serious nonlinearity, unmeasurable states, variable constraints, and unknown time-varying lumped disturbances. To address the above issues, this paper proposes a receding Galerkin optimal controller with a high-order sliding mode disturbance observer in a composite scheme, in which a high-order sliding mode disturbance observer is first employed to estimate the lumped disturbances based on a deviation form of the mathematical model of the boiler-turbine unit. Subsequently, under the hypothesis of state constraint, a receding Galerkin optimal controller is designed to compensate the lumped disturbances by embedding their estimates into the mathematically based predictive model at each sampling time instant. With the help of an interpolation polynomial, Gauss integration, and nonlinear solvers, an optimal control law is then obtained based on a Galerkin optimization algorithm. Consequently, disturbance rejection, target tracking, and constraint handling performance of a controlled closed-loop system are improved. Some simulation cases are conducted on a mathematical boiler-turbine unit model to demonstrate the effectiveness of the proposed method, which is supported by the quantitative result analysis, such as tracking and disturbance rejection performance indexes.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10129-:d:1179772
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    References listed on IDEAS

    as
    1. 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.
    2. Gang Zhao & Zhi-gang Su & Jun Zhan & Hongxia Zhu & Ming Zhao, 2018. "Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit," Complexity, Hindawi, vol. 2018, pages 1-13, August.
    3. Kong, Xiaobing & Liu, Xiangjie & Lee, Kwang Y., 2015. "Nonlinear multivariable hierarchical model predictive control for boiler-turbine system," Energy, Elsevier, vol. 93(P1), pages 309-322.
    4. Randy Boucher & Wei Kang & Qi Gong, 2016. "Galerkin Optimal Control," Journal of Optimization Theory and Applications, Springer, vol. 169(3), pages 825-847, June.
    Full references (including those not matched with items on IDEAS)

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