Application of model predictive control to advanced combustion control

Abstract The objective of the application of model-based predictive control technology for boiler control is to enable tight dynamical coordination of selected controlled variables, particularly the coordination of air and fuel flows during transients. It is shown that this approach can be used in connection with excess air optimization to increase boiler efficiency while considerably reducing the production of NO x .

[1]  Andrew Pike,et al.  Application of modern methods in power plant simulation and control , 2000 .

[2]  James B. Rawlings,et al.  Optimization Strategies for Linear Model Predictive Control , 1998 .

[3]  B. W. Hogg,et al.  Predictive co-ordinated control for power-plant steam pressure and power output , 1995 .

[4]  N. W. Rees,et al.  Some thoughts on the advanced control of electric power plants , 2002 .

[5]  Vladimir Havlena,et al.  Application of the Unified Energy Solutions Package in Samsung Fine Chemicals , 2003 .

[6]  Vladimir Havlena,et al.  Optimization and Control of Combustion Process Products , 2000 .

[7]  Manfred Morari,et al.  Linear parameter varying model predictive contr for steam generator level control , 1997 .

[8]  Ján Somvársky,et al.  Economic load allocation , 2002 .

[9]  Shyan-Shu Shieh,et al.  Constrained optimization of combustion in a simulated coal-fired boiler using artificial neural network model and information analysis , 2003 .

[10]  Vladimir Havlena,et al.  Application of MPC to Advanced Combustion Control , 2000 .

[11]  Gene H. Golub,et al.  Matrix computations , 1983 .

[12]  G. A. Oluwande Exploitation of advanced control techniques in power generation , 2001 .

[13]  E. Swidenbank,et al.  A Local Model Networks Based Multivariable Long-Range Predictive Control Strategy for Thermal Power Plants , 1998, Autom..

[14]  Basil Kouvaritakis,et al.  Application of generalised predictive control to a boiler-turbine unit for electricity generation , 1990 .

[15]  João M. Lemos,et al.  Adaptive regulation of super-heated steam temperature: a case study in an industrial boiler , 2000 .

[16]  Carlos E. Garcia,et al.  QUADRATIC PROGRAMMING SOLUTION OF DYNAMIC MATRIX CONTROL (QDMC) , 1986 .

[17]  Hong Zhao,et al.  A nonlinear industrial model predictive controller using integrated PLS and neural net state-space model☆ , 1999 .

[18]  B. S. Gill,et al.  Predictive emission monitors (PEMS) for NOx generation in process heaters , 2000 .