Flatness generalized prediction control based on wavelet denoising

The delay of flatness measurement signal exists in low-speed cold rolling process, which influences the performance of closed loop control system. In this paper, the flatness generalized predictive control algorithm is proposed. The nonlinear wavelet denoising method is used to filter the noise of the measure data availably. Then the filtered data are applied to recognize the flatness through the model based on multiple linear regression. The prediction model of symmetrical and asymmetrical coefficients can be obtained. And then receding horizon optimization and online identification are developed to obtain control sequence. The simulation results exhibit the effectiveness of our method.