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Tuning of ILADRC for CFB Boiler Combustion System Based on LF-DCSSA Algorithm

Author

Listed:
  • Qi Wang

    (School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China)

  • Chi Zhang

    (School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China)

  • Aoqi Xiao

    (School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China)

  • Xinchun Jia

    (School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China)

  • Shikui Chen

    (School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China)

  • Rongsen Fan

    (School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China)

Abstract

Aiming at the problem that it is difficult to adjust the parameters of the controller in the circulating fluidized bed (CFB) boiler combustion system due to its multivariable and strong coupling, an improved linear active disturbance rejection controller (ILADRC) parameter tuning strategy based on the Lévy flight double chaotic sparrow search algorithm (LF-DCSSA) is proposed. The LF-DCSSA algorithm is used to tune the parameters of the ILADRC controller in the multivariable coupled combustion control system of the CFB boiler built by Simulink, so that its control effect can reach the best state. The step response simulation and perturbation simulation are carried out with the theoretically tuned PID and ILADRC. The simulation results show that LF-DCSSA-ILADRC has obvious advantages in the three indexes of time–domain response, such as adjustment time, overshoot, and ITAE, which is more efficient and accurate than that of the theoretical setting, providing a new strategy for the control of the CFB boiler combustion system.

Suggested Citation

  • Qi Wang & Chi Zhang & Aoqi Xiao & Xinchun Jia & Shikui Chen & Rongsen Fan, 2025. "Tuning of ILADRC for CFB Boiler Combustion System Based on LF-DCSSA Algorithm," Energies, MDPI, vol. 18(9), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2164-:d:1640852
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