Title :
Flatness generalized prediction control based on wavelet denoising
Author :
Zhao Qiang ; Wang Jinkuan ; Han Yinghua ; Li Chengtie
Author_Institution :
Coll. of Inf. Sci. & engneering, Northeastern Univ., Shenyang, China
Abstract :
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.
Keywords :
closed loop systems; cold rolling; delays; filtering theory; nonlinear control systems; optimisation; predictive control; regression analysis; signal denoising; wavelet transforms; asymmetrical coefficients; closed loop control system performance; control sequence; flatness generalized predictive control algorithm; flatness measurement signal delay; horizon optimization; linear regression; low-speed cold rolling process; measure data noise filtering; nonlinear wavelet denoising method; online identification; symmetrical coefficients; Data models; Force; Optimization; Prediction algorithms; Predictive models; Strips; Wavelet transforms; flatness coefficients; multiple linear regression; receding horizon optimization; wavelet transform denoise;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561317
