Design Of Control System Of Casting Physical Model On The Experimental Platform And Research On Steelmaking Process Production Scheduling

The subject is the sub-platform of steelmaking-refining-casting process control system integration and process comprehensive optimization experiments research platform in "985 Project". Simulation of the motion control and process scheduling algorithm in continuous casting experimental platform have been researched. The experimental platform is important link between theoretical research and practical application. The experimental platform can simulate control process of continuous casting production in lab. It can lay the foundation for the industrial production process control optimization and production scheduling research.The main research contents of this thesis are as flows:PLC electrical control system of continuous casting model was designed. The control of revolving platform, large arm, big bag cover, the middle charter, motor was accomplished. Continuous casting automation of experimental platform was achieved. Open-loop control system of temperature/level manipulator position was designed based on HD-8860-C5 stepper motor drives. Lower distance and pulse signal was linear calibrated for manipulator to ensure reliable operation. WinCC monitoring interface was configured. Communication between PC and PLC was achieved through Industrial Ethernet. Monitoring of PLC control system for continuous casting experimental platform was accomplished.Steelmaking-continuous casting production process static scheduling model was established and solved. A 0-1 mixed integer mathematical programming model of steelmaking-continuous casting production scheduling was established based on the hybrid flow shop (HFS) scheduling theory. An improved genetic algorithm approach of scheduling scheme optimization for furnaces was proposed to solve the model.Automation control of electrical system for continuous casting experimental platform was achieved by debugging and running in lab. Every actuator was running steadily. Error of positioning control for manipulator was ± 5mm within the scope of the trip (100mm). Finally, the result of simulation experiment indicates that it is an efficient algorithm for this production scheduling problem.