| As the rapid development of China’s manufacturing and construction industries, the quantity and quality demand of domestic steel get further enhanced, and the performance of the rolling speed control in the rolling process is directly related to the quality of steel products, however, the current control solution of DC speed-adjusting system in mill is still mostly using the traditional PID control solution and more and more difficult to meet the increased control performance requirements. Combined with the actual needs, the paper make a research in the theoretics and design, thus, it has important theory value and practice meaning.Through the analysis of the mill’s rolling process as well as the structure and the principle of the main transmission device of rolling mill in this paper, it get factors that affect the performance of the rolling speed, then the control solution of fully digital DC speed-adjusting system are determined, which use PLC and full digital rectifying device as the control device to form the double closed-loop structure as well as the fuzzy PID control theory.Through the research of full digital DC speed regulation system, reasonable mathematical models are established, the fuzzy controller is designed and the corresponding querying fuzzy control tables is geted by using the matlab fuzzy control toolbox, the controller parameters are adjusted and the control solutions are compared between PID and FZ-PID control solution by using the simulating functions of matlab software.At the same time, in order to verify the actual effect of the theoretical scheme, experimental platform of fully digital DC speed-adjusting system will be built, which take S7-300 PLC as speed closed-loop controller and 6RA70 full digital DC rectifie as current closed-loop controller as well as hardware configuration, communication configuration, program design in the PLC part and reasonable setting of controller parameters in 6RA70 part, Finally the advantages of the fuzzy PID relative to PID control solution are verified by repeated debugging controller parameters in experiments. |
