DocumentCode :
3572968
Title :
Simulation system of cold rolling process operation optimization
Author :
Yue Hong ; Lianjie Tang ; Jian Wang ; Siyuan Wu
Author_Institution :
Logistics Inst., Northeastern Univ., Shenyang, China
fYear :
2014
Firstpage :
2756
Lastpage :
2760
Abstract :
Since how to quickly and accurately set the optimal process parameter of each mill in the cold rolling production process is an important base task for energy saving technology of cold rolling process now, this task designed a cold rolling process operation optimization simulation system based on Visual C++ and HMI software. Its design idea, system architecture and function were introduced. For the changes of model parameters and uncertain measurement data under different conditions for the cold rolling process, in order to enhance the reliability of system model, the optimization model and MPC control model of rolling force for cold rolling mill were built. Modified particle swarm optimization (PSO) intelligent algorithm is used to solve the proposed rolling force optimization model and MPC control model. The Visual C++ was used to implement optimization algorithms and system integration, establish the real-time cold rolling process simulation platform. Then HMI software was used to make the user interface of simulation platform. Finally, the feasibility and practical value of this simulation experimental platform were demonstrated by the cold rolling process optimization simulation system. The simulation results indicate that this system has its strong point that it can collect and dispose the data simply, quickly and timely, also this system is helpful in optimization and improvement real-time optimization model and control of rolling force in cold rolling process, and the method and simulation system have obviously optimization effect for various working conditions, and meet the requirements of actual production.
Keywords :
C++ language; cold rolling; force control; human computer interaction; particle swarm optimisation; predictive control; process control; rolling mills; user interfaces; HMI software; MPC control model; PSO; Visual C++; cold rolling mill; cold rolling process operation optimization simulation system; cold rolling production process; energy saving technology; optimal process parameter; particle swarm optimization intelligent algorithm; real-time cold rolling process simulation platform; reliability; rolling force optimization model; system integration; user interface; Force; Object oriented modeling; Optimization; Process control; Production; Real-time systems; Steady-state; Cold rolling; model predictive control(MPC); operation optimization; simulation system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053162
Filename :
7053162
Link To Document :
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