Research On Multi Closed Loop Feedback Control System Of Pole Plate Mill

Nowadays lithium battery industry has become an important pillar of China’s economic development.As one of the important equipment of lithium battery production,the operation process of the pole piece mill involves many closed-loop feedback links such as deviation correction and tension.The existing closed-loop control system and strategy of the mill are relatively traditional,so it is difficult to solve the nonlinear,multivariable coupling and possible interference problems in the closed-loop structure of the pole piece mill.In this dissertation,the closed-loop feedback control system of pole plate mill is studied from two aspects of hardware structure and software algorithm,in order to improve the accuracy and anti-interference ability of the closed-loop control.This dissertation mainly studies from the following aspects.1.Overall scheme design of the system.The status quo of the closed-loop feedback control system of the strip mill is investigated and the shortcomings of the existing technology are analyzed.On this basis,the main influencing factors and control methods of the closed-loop structure such as the winding and unwinding deviation correction and tension of the pole piece mill are studied,and the corresponding closed-loop control mathematical model is constructed based on the actual field mill structure.Combined with the mathematical model obtained from the analysis,the hardware control system of the pole rolling mill is built according to the shortcomings of the existing technology,and multiple algorithms are combined to propose the integral separated fuzzy PID control strategy optimized by genetic algorithm.2.Hardware control platform construction.Combined with the functional requirements and technical indicators of deviation correction and tension closed-loop control,the hardware platform is built from three aspects: information collection,main control system and human-computer interaction.This dissertation focuses on the information acquisition part,with the EP4CE6F17C8 FPGA chip as the main chip,designs the analog voltage acquisition circuit with AD7606 as the core,as well as the step-down filter circuit and information storage circuit.3.Research on closed-loop control algorithm.In order to improve the self-adaptive and anti-interference ability of pole piece correction and tension closed-loop control,this dissertation combines fuzzy algorithm and integral separation PID method,and improves PID parameters by fuzzy rules.On this basis,genetic algorithm is introduced to optimize the fuzzy rules and PID parameters through genetic iteration.The closed-loop mathematical model of rectification and tension is used to simulate the control algorithm,which proves that the algorithm can effectively improve the accuracy and anti-interference ability of the closed-loop control.In this dissertation,the closed-loop control system of rolling mill is debugged in the field.The sampling accuracy and efficiency of the information acquisition module and the inter board communication are tested and verified to ensure the performance of the hardware acquisition circuit.The curves and sensor data of the correction and tension of the winding and unwinding parts under different algorithms are compared and analyzed,which proves that the correction and tension control under the algorithm control of this dissertation is more stable Better anti-interference ability.Through on-site debugging,it is proved that the closed-loop control system can be applied to the field environment.