Research On Pressure Control In The Production Of Ultra-thin Amorphous Alloy Based On Deviation Combination Expert PID

As a new soft magnetic material,ultra-thin amorphous alloy is widely used in power,machinery,chemical industry and other fields.Ultra-thin amorphous alloy adopts ultra quench solidification technology.From melt to alloy one-time forming,the cooling speed is very fast.It is a high temperature,high speed and high precision process.Small pressure fluctuations during manufacturing can result in the thicknesses of ultra-thinamorphous alloy outside the required range.When the pressure in the transition ladle is too high,the alloy melt ejected per unit time increases and the thickness of ultra-thin amorphous alloy increases;When the pressure in the transition ladle is too small,the alloy melt ejected per unit time decreases and the thickness of ultra-thin amorphous alloy decreases.At present,in the production of ultra-thin amorphous alloy,the pressure in the transition ladle fluctuates greatly,which leads to the uneven thickness of ultra-thin amorphous alloy.Therefore,this thesis takes the pressure in the transition ladle as the research object,proposes a deviation combination expert PID control strategy,and designs the monitoring system of ultra-thin amorphous alloy production line and the control interface of pressure in the transition ladle.The main contents of this thesis are as follows:(1)The preparative method and production process of ultra-thin amorphous alloy are analyzed and studied in depth.On this basis,according to the overall composition of ultra-thin amorphous alloy production system,the composition and control principle of ultra-thin amorphous alloy melting equipment,ultra-thin amorphous alloy forming equipment and auxiliary equipment are analyzed,and the existing pressure control system and existing problems are summarized and analyzed,which lays a foundation for the subsequent research on pressure control in transition ladle.(2)In the production process of ultra-thin amorphous alloy,the pressure in the transition ladle is affected by many factors,and the correlation between these factors is strong.In this thesis,the relevant factors of the pressure in the transition ladle are analyzed,the pressure prediction model in the transition ladle is established by using BP neural network,and an adaptive PSO algorithm is proposed,through the adaptive partition of the median fitness value and the local search of the optimal position,the flight direction and speed of each particle are adjusted to obtain the optimal weight and threshold of BP neural network.The simulation experimental using the actual production field data of a steel plant in Shanxi Province show that compared with BP neural network and PSO-BP neural network,the adaptive PSO-BP neural network has higher accuracy in predicting the pressure in the transition ladle,which can provide the basis for the subsequent pressure control in the transition ladle.(3)In view of the non-linear characteristics of the pressure control system in the transition ladle,a deviation combination expert PID control strategy is proposed to solve the problem of large pressure fluctuation in the transition ladle when using conventional PID control.Firstly,an adaptive PSO-BP neural network is used to build the pressure prediction model in the transition ladle,then the pressure trend in the transition ladle at the future time is predicted according to the pressure prediction model,and the pressure prediction deviation and pressure measurement deviation are combined through the weight factor.Finally,the combined pressure deviation and its variation rate are used as the input of the expert controller to realize the intelligent pressure control.The simulation experimental using the actual production field data of a steel plant in Shanxi Province show that the deviation combination expert PID algorithm proposed in this thesis can stably track the pressure setting curve in the transition ladle and meet the production requirements.Compared with conventional PID algorithm and expert PID algorithm,the tracking error is smaller,which can effectively reduce the occurrence of pressure fluctuations.(4)In order to realize the intelligent monitoring of the ultra-thin amorphous alloy production line and provide the visual operation interface for the operators of the production line,this thesis designs the ultra-thin amorphous alloy production line monitoring system and the pressure control interface in the transition ladle by using the industrial configuration software WinCC according to the on-site requirements of the ultra-thin amorphous alloy production line,and completes the data exchange between WinCC and matlab by using OPC technology.The functions of real-time display and intelligent alarm of important process parameters,pressure prediction model results in the transition ladle and pressure control results in the transition ladle in the production of ultra-thin amorphous alloy are realized.