Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Multivariable constrained model-based predictive control with application to boiler systems

제약조건을 갖는 다변수 모델 예측제어기의 보일러 시스템 적용

  • Son, Won-Gi (Dept.of Computer Engineering, Inha University) ;
  • Gwon, O-Gyu (Dept.of Computer Engineering, Inha University)
  • 손원기 (인하대학교 전자.전기.컴퓨터공학부) ;
  • 권오규 (인하대학교 전자.전기.컴퓨터공학부)
  • Published : 1997.12.01
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Abstract

This paper deals with the control problem under nonlinear boiler systems with noise, and input constraints. MCMBPC(Multivariable Constrained Model-Based Predictive Controller) proposed by Wilkinson et al.[10,11] is used and nominal model is modified in this paper in order to applied to nonlinear boiler systems with feed-forward terms. The solution of the cost function optimization constrained on input and/or output variables is achieved using quadratic programming, via singular value decomposition(SVD). The controller designed is shown to satisfy the constraints and to have excellent tracking performance via simulation applied to nonlinear dynamic drum boiler turbine model for 16OMW unit.

Keywords

References

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