PID Control Of Key Parameters In Paper-making

The paper focus on economic type's quantity and moisture control system in the middle or little paper factory.It introduces the work and machine processing of economic type's quantity and moisture control system in the middle or little paper factory and the system's automatic control principle.Because the system has many disadvantages,such as undetermined sexual,changefull quantity,strong couple,strong nonline sexual,big pure hysteresis and state which are not completely measured and the change of operating conditions which wait for property frequently, And it is complex to use routine mathematics method to establish model,Therefore, The system's model is established by using MLR(multilinear regression methods).The system is respectively controlled by using an intelligent PID control system base on BP Neural Network and by using PID system in the paper.Through emulation and robust analysis,the paper illuminates the PID control system based on BP Neural Network,compared with the traditional PID control system,improved transitional time and the control performance of system,and achieved better control effect.