Title :
A rol eccentricity sensor for steel strip rolling mills
Author :
Chicharo, Joe F. ; Ng, Tung S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia
Abstract :
The authors present a novel roll eccentricity sensor that retrieves the required roll eccentricity controller reference signal. The sensor implements a modified comb filter structure, which can be arranged in either tunable or adaptive form. The comb filter consists of a number of second-order infinite-impulse-response notch filter modules. Simulation results based on typical experimental data clearly indicate that the proposed sensor is appropriate and offers distinct advantages over other methods. The advantages of the sensor include fast convergence and accurate parameter estimates. No extra positional sensors are required, since this information can be easily obtained from the phase estimates. The sensor is not based on approximate mill models; it simply treats the problem as a harmonic series buried in noise.<>
Keywords :
electric sensing devices; process control; rolling mills; steel industry; comb filter structure; controller reference signal; convergence; harmonic series; noise; parameter estimates; process control; rol eccentricity sensor; second-order infinite-impulse-response notch filter; steel strip rolling mills; Adaptive filters; Bandwidth; Filtering; Frequency estimation; IIR filters; Least squares approximation; Milling machines; Power harmonic filters; Steel; Strips;
Conference_Titel :
Industry Applications Society Annual Meeting, 1989., Conference Record of the 1989 IEEE
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/IAS.1989.96620