Hierarchical Optimization Temperature Control of Hot Rolling Induction Heating

摘要

Hot strip mill in steel rolling process of induction heating is more and more widely used, because temperature distribution of the billet into the furnace is uneven, the artificial control of heating furnace is difficult to reach temperature accuracy and stability. This project using hierarchical optimization method, connect to Siemens PLC using PPI protocol, and through data modeling method to build the billet heating process model, using stochastic optimization method to obtain the optimum heating voltage curve and passed to the PLC. PLC using a segmented PID algorithm to achieve the voltage curve tracking control. The experimental results show that the hierarchical optimization structure achieved very good results.