Academic Journal of Engineering and Technology Science, 2022, 5(10); doi: 10.25236/AJETS.2022.051010.
University of Shanghai for Science and Technology, Shanghai, China
Steam power plants are extensively utilised worldwide for electricity generation and whose operation efficiency should be improved to make better utilisation of fossil fuels. Inside a steam power plant, the combustion system is probably the most imperative system to be controlled since it guarantees the effective and secure operation of the boiler. In this paper, firstly, the block diagram and corresponding transfer functions of the combustion system were built and assumed. Then, the conventional and fuzzy PID controllers were designed and applied to control the boiler combustion system. Through the simulation using MATLAB Simulink, the closed-loop responses of the conventional PID and the fuzzy controller were obtained and compared. Furthermore, the robustness of the fuzzy PID controller was tested and verified. The results show that the overall performance of fuzzy PID controller is more excellent than the conventional one. Additionally, it is also proven that the fuzzy PID controller possesses outstanding robustness, and it can handle quite well with the disturbances appearing in the system and the uncertainties that occurred in system modelling, which is rather advantageous and practical in a steam power plant.
Steam power plant, Combustion control system, Robust control method, MATLAB Simulink
Yixing Xie. Design and Simulation of a Robust Combustion Control System for a Steam Power Plant Using MATLAB Simulink. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 10: 53-59. https://doi.org/10.25236/AJETS.2022.051010.
 International Energy Agency, Key World Energy Statistics, Paris: International Energy Agency, 2021.
 X. Wu, J. Shen, Y. Li, and K. Y. Lee, “Steam Power Plant Configuration, Design, and Control,” Wiley Interdisciplinary Reviews: Energy and Environment, vol. 4, no. 6, pp. 537-563, 2015.
 M. Petrov, I. Ganchev, and A. Taneva, “Fuzzy PID Control of Nonlinear Plants,” Proceedings of First International IEEE Symposium Intelligent Systems, vol. 1, pp. 30-35, 2002.
 L. Keviczky, R. Bars, J. Hetthéssy, and C. Bányász, “Introduction to MATLAB,” Control Engineering: MATLAB Exercises, pp. 1-27, Singapore: Springer, 2019.
 Y. Li, “Modelling and Simulation of Boiler Combustion Process Control System,” Heilongjiang Science and Technology Information, no. 33, pp. 143-144, 2015.
 J. Zhou, Q. Fang, and D. Wang, “Simulation of Combustion Process Control System Based on MATLAB/ Simulink,” Journal of Zhengzhou University (Engineering Science), vol. 33, no. 2, pp. 51-54, 2012.
 J. G. Ziegler, and N. B. Nichols, “Optimum Settings for Automatic Controllers,” Transactions of the American Society of Mechanical Engineers, vol. 64, no. 11, pp. 759-768, 1942.
 K. Ogata, “PID Controllers and Modified PID Controllers,” Modern Control Engineering, pp. 567-647, Upper Saddle River: Pearson, 2010.