吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (1): 209-215.doi: 10.13229/j.cnki.jdxbgxb201501031

• 论文 • 上一篇    下一篇

基于Laguerre-Fuzzy Hammerstein模型的增压锅炉非线性预测控制

马修真，赵加凤   

  1. 哈尔滨工程大学 动力与能源工程学院，哈尔滨 150001
  • 收稿日期:2013-06-06 出版日期:2015-02-01 发布日期:2015-02-01
  • 作者简介:马修真(1957)，男，教授，博士生导师.研究方向:动力机械非线性控制.E-mail:maxiuzhen@hrbeu.edu.cn
  • 基金资助:
    中央高校基本科研业务费专项项目(HEUCF100305,HEUCFZ10006).

Nonlinear predictive control for supercharged boiler based on Laguerre-Fuzzy Hammerstein model

MA Xiu-zhen,ZHAO Jia-feng   

  1. College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001
  • Received:2013-06-06 Online:2015-02-01 Published:2015-02-01

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摘要： 增压锅炉燃烧系统具有强非线性、大滞后、参数时变和不确定性，传统的控制方法很难取得较好的控制效果。Laguerre滤波网络能够以较低的模型阶次逼近系统线性特性，且无需知道系统的滞后时间;Fuzzy模型能够有效描述系统的非线性及不确定性。提出了基于Laguerre-Fuzzy Hammerstein模型的非线性预测控制器并应用于增压锅炉燃烧系统控制器设计中。仿真结果表明:在变负荷情况下，本文提出的控制器能够有效控制过热蒸汽压力迅速稳定在设定值;与单输入预测控制器相比，该控制器综合考虑了两非线性变量带来的影响，且有效地避免了因系统变迟延和不确定性带来的影响，证明了本文方法的有效性。

关键词: 自动控制技术, 非线性预测控制, 增压锅炉, Hammerstein模型

Abstract: Supercharged boiler has the characteristics of strong nonlinearity, big time delay, parameter time-variation and uncertainty, which make it difficult to obtain an ideal control performance using traditional control methods. Since Laguerre filter networks can approximate system linearity with a lower model order without knowing the system delay, while Fuzzy model can describe system nonlinearity and uncertainty effectively, a Nonlinear Model Predictive Controller (NMPC) based on Laguerre-Fuzzy Hammerstein model is proposed and applied in the controller design of supercharged boiler combustion system. Simulation results show that the proposed controller can adjust the main-steam pressure to set-point fast under varying load. Compared to the predictive controller with one input variable, the proposed controller comprehensively considers the influence of the two nonlinear variables on the system, and avoids the influence of the varying time delay and uncertainty, thus validating its effectiveness.

Key words: automatic control technology, nonlinear predictive control, supercharged boiler, Hammerstein model

中图分类号: 

  • TP13
[1] Ding B C, Ping X B. Dynamic output feedback model predictive control for nonlinear systems represented by Hammerstein-Wiener model[J]. Journal of Process Control, 2012, 22(9):1773-1784.
[2] Zhang G C, Zhang L, Wan L, et al. Predictive S control of AUV based on model of support vector machine[J]. Advanced Materials Research, 2012, 340:421-428.
[3] Sadeghassadi M, Fatehi A, Sedigh A K, et al. On the structural optimization of a neural network model predictive controller[J]. Industrial and Engineering Chemistry Research, 2013, 52(1):394-407.
[4] Kara T, Eker I·. Nonlinear modeling and identification of a DC motor for bidirectional operation with real time experiments[J]. Energy Conversion and Management, 2004,45:1087-1106.
[5] Hong X, Chen S. The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization[J]. Neurocomputing, 2012, 82(1):216-223.
[6] Li C H, Zhu X J, Cao G Y, et al. Identification of the Hammerstein model of a PEMFC stack based on least squares support vector machines[J]. Journal of Power Sources, 2008, 175(1):303-316.
[7] Su C L, Ma J W. Nonlinear predictive control using fuzzy Hammerstein model and its application to CSTR process[J]. AASRI Procedia, 2012 3:8-13.
[8] 张静巧. 船用增压锅炉燃烧控制系统研究[D]. 哈尔滨:哈尔滨工程大学自动化学院, 2009.
Zhang Jing-qiao. Research on marine supercharged boiler combustion control system[D]. Harbin: College of Automation of Harbin Engineering University, 2009.
[9] 曾德良, 刘吉臻. 汽包锅炉的动态模型结构与负荷/压力增压预测模型[J]. 中国电机工程学报,2000, 20(12):75-79.
Zeng De-liang, Liu Ji-zhen. Drum boiler dynamic model and load/pressure increment predict model[J]. Proceedings of CSEE, 2000, 20(12):75-79.
[10] Toyoda Y, Wada K. Application of a nonlinear system identification method to thermal power plants[J]. Electrical Engineering in Japan, 2001, 137(2):26-35.
[11] 张涛,李元春. 基于时变时延辨识的双向遥操作控制方法[J]. 吉林大学学报:工学版,2006, 36(3):393-398.
Zhang Tao, Li Yuan-chun. Bilateral control of teleoperation system based on time-varying delay identification[J]. Journal of Jilin University (Engineering and Technology Edition), 2006, 36(3):393-398.
[12] Yu Z X, Li S G, Du H B. Razumikhin-Nussbaum -lemma-based adaptive neural control for uncertain stochastic pure-feedback nonlinear systems with time-varying delays[J]. International Journal of Robust and Nonliear Control, 2013, 23(11):1214-1239.
[13] Mahmoodi S, Poshtan J, Jahed-Motlagh M R, et al. Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model[J]. Chemical Engineering Journal, 2009, 146(3): 328-337.
[14] 姚伟,孙海顺,文劲宇,等. 基于Laguerre模型的过热汽温自适应预测PI控制系统[J]. 中国电机工程学报, 2012,32(5):119-125.
Yao Wei, Sun Hai-shun, Wen Jin-yu, et al. An adaptive predictive PI control system of super-heated steam temperature based on Laguerre model[J]. Proceedings of the CSEE,2012, 32(5):119-125.
[15] Zhao J F, Ma X Z, Zhao S Z, et al. Hammerstein identification of supercharged boiler superheated steam pressure using Laguerre-Fuzzy model[J]. International Journal of Heat and Mass Transfer, 2013,70:33-39.
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