Adaptive model predictive control based on compensation control
ZHANG Xue-min
FU Yue
Abstract：For discrete-time affine nonlinear systems with unknown system parameters,unknown external disturbances and input and output constraints,an adaptive model predictive control method based on compensation control is proposed by combining compensation control,parameter estimation and model predictive control.The projection algorithm based on high-order disturbance observer is used to estimate the unknown parameters and external disturbance synchronously.According to the disturbance observation values and parameter estimation values,the compensation control variables are designed to make the input and output of the system meet the constraints,thus ensuring the feasibility of the model pre-dictive control optimization problem and making the output of the system converge to the output of the nominal system.Finally,the proposed method is applied to the simulation experiment of electrode current control in fused magnesia smelting process,and the effectiveness of the proposed method is verified by simulation.
Keywords：model predictive controlcompensation controladaptive controlparameter estimationfused magnesia
Publication Date：2025-03-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 455-462 )