Title :
Frequency domain design for data-based linear Tracking Differentiator filter
Author :
Lijun, Wang ; Qing, Li ; Chaonan, Tong ; Yixin, Yin ; Jie, Dong
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
To meet with high-dimensional accuracy and high speed for hot strip rolling mills in iron and steel process, a practical frequency domain design for data-based linear Tracking Differentiator (TD) filter is proposed. Based on state and differential signal estimated by TD, it is applied to the filter of width data in real time to eliminate the effects of measurement noise. Then parameters tuning method of frequency domain is put forward according to frequency spectrum given by Fast Fourier Transform (FFT). Simulation results show the proposed linear TD filter is effective.
Keywords :
control system synthesis; fast Fourier transforms; hot rolling; rolling mills; tracking filters; FFT; TD; data-based linear tracking differentiator filter; fast Fourier transform; frequency domain design; frequency spectrum; hot strip rolling mills; iron process; parameters tuning method; steel process; Control theory; Filtering theory; Frequency domain analysis; Industrial electronics; Maximum likelihood detection; Neural networks; Nonlinear filters; Data-based; Fast Fourier Transform; Frequency Domain; Tacking Differentiator Filter; Width;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
