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Speed Control System Research On Copper Strip In Continuous Extrusion And Rolling

Posted on:2015-03-31Degree:MasterType:Thesis
Country:ChinaCandidate:F D LiuFull Text:PDF
GTID:2311330488471528Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
Copper strip production technology in recent years has been growing processing of copper in the copper belt in the proportion of products increased year by year, has become one of the most extensive variety of industrial applications. Even squeeze a copper rolling with a new production process, with high productivity, fewer processes, energy conservation, etc., and has broad prospects for development.Even squeeze rolling line speed with time-varying and nonlinear characteristics, rolling too fast or too slow can cause cracking and playing volume products, the impact of product quality. Improve the accuracy and stability even squeeze rolling speed. speed control for other types of objects that have a wide range of application value.BP neural network has the characteristics of memory and generalization capabilities, global search for PID parameters automatically optimizing PID algorithm can compensate for deficiencies. On this basis, the paper presents a first-order with improved BP neural network PID algorithm momentum and avoid falling into local optima and improve the convergence speed.This paper experimentally measured transfer function of the rolling machine to MATLAB 7.0 platform, the traditional PID control, neural network PID control and improved BP neural network PID control were carried out simulation, simulation results show that the improved BP neural network PID controller have a shorter response time and good dynamic properties follow.Paper, the improved algorithm proposed a specific embodiment, the drive to the rolling machine and the main motor is controlled object, IPC as the host computer, type Siemens S7-200 PLC for the next crew to build even squeeze rolling speed control system. Experimental results further demonstrate the effectiveness of the method.In this paper, the development of tools for the development of WINCC even squeeze mill monitoring program, using EM235 module S7-200 and IPC together constitute industrial Ethernet, to communicate with the host computer through the next crew OPC server software PC ACCESS, to ensure that the data transmission real-time and stability, improved anti-jamming capability.
Keywords/Search Tags:even squeeze rolling, PID, improved BP neural network, speed control, PLC
PDF Full Text Request
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