With the development of productivity and the progress of science and technology, the user demand for steel strip thickness accuracy is higher and higher, but because of some special steel, if the cold rolling mill in cold rolling with the fixed frame, is harder to rolling high precision steel belt, these special steel using only support these reversible cold rolling mill, cold rolling is essential for high precision with cold-rolled steel, This is why it is very important for the research of single supported reversible cold rolling mill.
Rolling process is the main content of the steel belt production technology, is the rolling mill production ability, quality and guarantee the quality of steel strip, the reasonable rolling technology can make full use of the rolling mill equipment capacity, reduce the energy consumption and ensure the accuracy of steel belt products, achieve the best rolling technology, along with the development of the technology of cold rolling, cold rolling technology is also obtained the development, The rolling process can not meet the production requirements by traditional empirical methods.
Especially in the field of single support investment factory, combined with steel level problem of single stand reversible cold rolling mill, rolling mill is studied in this program and the optimization of the control system of plate layer, the L2, is very important for high improved and main performance in the engineering of theoretical significance and practical significance, thus analyzed the composition and production process of cold rolling system, analyzes the functional requirement, L2 control system is designed and implemented. Finally, roll management module is designed and implemented.
Through experimental analysis, and ultimately determine the particle swarm optimization algorithm, is used as a single support investment factory rolling process optimization method, and finally designed for data preparation process of the initial function of the three basic functions, model and functions performed by the balance program optimization system of the optimization process, and then after data analysis, to balance the procedures involved in the system of class analysis and classification, The synchronization of the initial data preparation program and the optimization program, the establishment and implementation of the cold rolling program optimization system and the optimization simulation of the scheduled treadmill program.