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- W2392938248 abstract "Due to the strong coupling and nonlinear characteristics of large-scale boiler-turbine-generating unit load control systems,those conventional linear control systems cannot obtain satisfactory control performance.To avoid this difficulty,one novel nonlinear predictive control approach based on fuzzy model and immune optimization algorithm is proposed.Here,a global fuzzy model,which is obtained by off-line identification,is used for the prediction of future plant behavior,then the receding horizon optimization problem of nonlinear predictive controller is solved on-line by a particularly designed real-coded immune algorithm,thus to obtain the corresponding optimal control actions at each sampling instant.Moreover,with the modified genetic operators this approach can easily solve the nonlinear optimization problem under manipulated input constraints.Finally,an application to a 500MW boiler-turbine-generating unit load control system is given,and simulation results indicate the effectiveness of this new approach." @default.
- W2392938248 created "2016-06-24" @default.
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- W2392938248 date "2006-01-01" @default.
- W2392938248 modified "2023-09-25" @default.
- W2392938248 title "Nonlinear Predictive Control on the Load System of a Thermal Power Unit and Its Simulation Study" @default.
- W2392938248 hasPublicationYear "2006" @default.
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