Research On Shape Signal Processing For Shape Meter Of Entire Roller Embedded With Elastic Blocks And Shape Closed-loop Control Method

Focusing on the signal processing on shape meter of entire roller embedded withelatic bolocks and shape closed-loop control method, theoretical research, industrialapplication and simulation research were carried out in this paper, and the newachievements gained has positive theoretical and practical significance to master the shapemeasuring and controlling technology with proprietary intellectual property rights.Taking the shape measuring roller embedded with elatic bolocks as research objects,on the basis of analysis on shape signal generation and extraction principle, and aiming toimprove the measuring precision of shape signal and system stability, a body of theory andmethod which is used for the research and development of shape siganl processing system,is supplemented and completed by the related research on shape signal processing fromthe standpoints of excited signal generating method,system architecture of shape signalprocessing, signal compensation model and anti-disturbance methods. This theory mainlyincludes the following content. A method generating high quality excited signal based onsinglechip, which generates the excited signal with the characters of frequency, amplitudeand phase position stabilization by D/A convertion, and this can effectively avoid lossingthe shape signal precision. According to disadvantage and its reason of traditional singleprocessing system architecture model, the system architecture model "signal processingbaord+upper machine software" is proposed. In this model, the functions with highrequirement of real-time, such as signal extraction, data acquisition and Data Processing,are lowered into the signal processing board and controlled by DSP chip. This model hasstrong anti-disturbance ability, lesser work load on the upper machine, and is efficient toenhance the real-time, stability and reliability of this system. The relations among theradial pressure, wrap angle and rotational frequency are gained by physical experimentwith the self-made alterable wrap angle experimental installation, further, thecompensation models for strip wrap angle and amplitude-frequency characteristic arecreated. The compensation model for marginal measuring unit coated by clod strip,suitable for the situation of strip wandering, is created by theoretical analysis.Simultaneously, the anti-distance methods of the different stage in the shape signal processing procedure are researched, and are applied into the development of shape signalprocessing system in order to improve the system anti-distance ability and stability.The signal processing system of shape meter of entire roller embedded with elaticbolocks is developed under the direction of the above theory. After calibrating anddocking testing in laboratory, the shape meter of entire roller embedded with elaticbolocks and the AFC system are applied together into the industrial application, and fromthe angle of anti-disturbance capacity, shape measuring precision and effect of shapeclosed-loop control, the performances of signal processing system are analyzed andverified. The industrial application presented that the shape signal processing system hasstrong anti-disturbance ability, powerful real-time performance, high precision ofextraction and convertion, more stability and reliability.Directing at the defects of artificial neural networks method to obtain shape controleffective matrix, a shape closed-loop control method based on self-learning of effectivematrix is proposed. The effective matrix empirical value table is created by keyinfluencing factors determined beforehand. According to the position of actual workingcondition point in the effective matrix empirical value table, the value of effective matrixis calculated on-line by centroid interpolation principle, further, the regulating variables ofshape control actuator are gained. Under the combined action of the various shapeinfluencing factors, self-learning model of effective matrix makes use of the rollingprocess data to correct the effective matrix empirical value of the relevant typical workingcondition points. This makes the effective matrix empirical values approximate to theactual regulation performances, and provides the foundation for the shape closed-loopcontrol which enters the stability rolling period and reachs to the required precision asquickly as possible.The on-line calculating of effective matrix is realized by centroid interpolationprinciple, and the realization of self-learning process of effective matrix is made by weightfactors and dynamic regulating of self-learning speed factor. Compared with the artificialneural networks method, this method has rapid computation speed, good stability andreliability, and is suitable to on-line application and easy to implement. Using the relevantreal data of1250HC cold mill, the simulation of the shape closed-loop control method based on self-learning of effective matrix is carried out. The simulation result shows thismethod has better shape control precision, smooth control process and higher convergingspeed.