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

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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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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

CLC Number: 

  • TP13
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