Fuzzy economic model predictive control of boiler-turbine system
CUI Jing-han
LIU Xiang-jie
KONG Xiao-bing
Abstract：Traditionally,the economy of the boiler-turbine system has been handled in a multi-layer hierarchical ar-chitecture where the upper-layer obtains an economical optimal steady state and sends it to the lower-layer for tracking purpose.However,traditional control structures tend to ignore the economic performance of the dynamic tracking process.To improve the transient economy,the economic model predictive control strategy based on fuzzy model for the boiler-turbine system is proposed in this paper.The feasibility and stability of the controller is guaranteed through designing the linear feedback control law and the feasible region off-line.Then,the optimization problem of economic model predictive control is solved on-line with two modes,i.e.,dynamic economic optimization mode and guaranteeing stability mode,so as to realize improving the economic of the dynamic process.Simulation results under large and small range load variations show the effectiveness of the proposed fuzzy economic model predictive control.
Keywords：economic model predictive controlfuzzy modelboiler-turbine systemstabilityfeasibility
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 308-316 )