Main Steam Temperature Control of Thermal Power Boiler Based on Dynamic Matrix Control

被引：0
|
作者：
Zhang J. [1 ]
Gao J. [1 ]
Feng X. [1 ]
机构：
[1] College of Electrical Engineering and Information, Anhui University of Technology, Maanshan, 243032, Anhui
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2019年 / 53卷 / 10期
关键词：
Dynamic matrix control; Main steam temperature; Rolling optimization; Thermal power boiler;
D O I：
10.7652/xjtuxb201910013
中图分类号：
学科分类号：
摘要：
A predictive control strategy of main steam temperature based on dynamic matrix control is proposed and the characteristics of large inertia, pure lag and nonlinearity of main steam temperature control for thermal power boilers are taken into account. According to the characteristics of superheated steam transmission channel, the disturbance of cooling water flow is used as feed-forward compensation. A dynamic matrix controller is designed by comprehensive consideration of disturbance factors such as unit load, fuel fluctuation and so on. The algorithm adopts a rolling optimization strategy with finite time interval and introduces an error-based feedback correction algorithm so that uncertainties caused by model mismatch, time-varying and interference are comprehensively considered, and the influence caused by these factors is compensated in time, so as to improve the robustness of the system. Simulation experiments and comparisons with the conventional PID and Smith control strategies show that the adjust time and the overshoot of the proposed strategy reduce by up to 314.28 s and 12.6% respectively under disturbance, and by up to 516.66 s and 15.46% under the case of model mismatch. Results of engineering applications show that the deviation of main steam temperature control is less than ±5℃, and both the dynamic and steady-state performances are greatly improved. Actual requirements of the main steam temperature control system of power generation boilers are effectively met. © 2019, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：96 / 102and174
相关论文
共 18 条
  • [1] Liang G., Li W., Li Z., Control of superheated steam temperature in large-capacity generation units based on active disturbance rejection method and distributed control system, Control Engineering Practice, 21, 3, pp. 268-285, (2013)
  • [2] Fang Y., Hu W., Self-tuning control of main steam temperature of DC boiler based on improved genetic algorithms, Power Automation Equipment, 33, 5, pp. 125-129, (2013)
  • [3] Zhang H., Shen S., Guo H., Application of multi-model fractal switching predictive control in main steam temperature regulation, Electric Machines and Control, 18, 2, pp. 108-114, (2014)
  • [4] Feng X., Zhu J., Du J., Et al., Application of neural network technology in feed for-ward control system of main steam temperature, Journal of Zhejiang University(Engineering Edition), 40, 10, pp. 1833-1836, (2006)
  • [5] Dong E., Chen Z., Yuan Z., Et al., Control and synchronization of chaos systems based on neural network PID controller, Journal of Jilin University (Engineering and Technology Edition), 37, 3, pp. 646-647, (2007)
  • [6] Ma Z., Liu C., Kai P., Et al., Control of large delay systems based on disturbance compensation, Information and Control, 42, 5, pp. 570-576, (2013)
  • [7] Feng J., Li S., Constrained predictive control of superheated steam temperature cascade system in power plant, Journal of Shanghai Jiao Tong University, 45, 10, pp. 1504-1508, (2011)
  • [8] Jia L., Chai Z., Neuro-fuzzy-PID cascade control for main steam temperature of thermal power units, Control Engineering, 20, 5, pp. 877-881, (2013)
  • [9] Zhang N., Reheated steam temperature control strategy based on adaptive Smith prediction method, Thermal Power Generation, 42, 4, pp. 98-101, (2013)
  • [10] Wang X., Feng X., Constrained predictive control of superheated steam temperature in power plant, Journal of Power Engineering, 30, 3, pp. 192-195, (2010)
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