Open AccessModel Predictive Control System Design for Boiler Turbine Process
Author(s) -
Sandeep Kumar Sunori,
Pradeep Juneja,
Anamika Jain
Publication year - 2015
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v5i5.pp1054-1061
Subject(s) - multivariable calculus , control theory (sociology) , model predictive control , boiler (water heating) , drum , turbine , operating point , nonlinear system , process control , computer science , control valves , control system , control engineering , pressure control , process (computing) , engineering , control (management) , mechanical engineering , physics , electrical engineering , quantum mechanics , artificial intelligence , operating system , waste management
MPC is a computer based technique that requires the process model to anticipate the future outputs of that process. An optimal control action is taken by MPC based on this prediction. The MPC is so popular since its control performance has been reported to be best among other conventional techniques to control the multivariable dynamical plants with various inputs and outputs constraints. In the present work the control of boiler turbine process with three manipulated variables namely fuel flow valve position, steam control valve position and feed water flow valve position and three controlled variables namely drum pressure, output power and drum water level deviation [8] has been attempted using MPC technique. Boiler turbine process is very complex and nonlinear multivariable process. A linearized model obtained using Taylor series expansion around operating point has been used.