Tuning of ILADRC for CFB Boiler Combustion System Based on LF-DCSSA Algorithm
Qi Wang (),
Chi Zhang,
Aoqi Xiao,
Xinchun Jia,
Shikui Chen and
Rongsen Fan
Additional contact information
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
Energies, 2025, vol. 18, issue 9, 1-23
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.
Keywords: improved linear active disturbance rejection control (ILADRC); circulating fluidized bed boiler; combustion system control; improved sparrow search algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/9/2164/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/9/2164/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:9:p:2164-:d:1640852
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().