Research And Application Of Nonlinear Model Predictive Control

According to the performance of industry process,that constraint and nonlinearity.Traditional control strategy could not offer satisfactory result.In this paper,the problem of constrained nonlinear model predictive control is studied via the nonlinear systems theory based on feedback linearization,and extends it to multivariable system.For a class of affine nonlinear systems,nonlinear model predictive control based on feedback linearization is proposed.In this way, nonlinear constraints which inducted by feedback linearization can still be tackled using Taylor's expansion.And in order to get feasible solution and to ensure the entire time-domain prediction are bound to meet the input,the resulting constrained linear error is solved by iterative algorithms.Boiler-turbine control is presented to illustrate the implementation and the performance of the proposed method.