Remote Temperature Control System Of High Temperature Furnace Based On Predictive PI Algorithm

As a main tool of heat treatment,high temperature furnace is used in many industries.As one of the cores in the field of industrial control,the temperature control of high-temperature furnaces often has the characteristics of nonlinear and large inertia,which need to be dealt with.With the development of economy and the industry progress,temperature control requirements are also further improved,these make regular controller difficult to meet the requirements of industry gradually.Therefore,it is necessary to study more advanced control methods to achieve better control effect.This thesis takes the high-temperature furnace as the research object of the temperature control system,a high-temperature furnace temperature remote control system based on predictive PI algorithm is designed.The main contents and innovations of this thesis are as follows:(1)In the process of modeling the temperature process of the high-temperature furnace,the second-order plus dead-time model is established according to the mechanism modeling.Then according to the step response test,the actual data of the controlled object is obtained,model reduction is carried out on the basis of the optimal parameters of the model identification of particle swarm optimization.Finally,through the biased relay feedback with hysteresis,the characteristics of the high temperature furnace at different operating points are studied.(2)For the established process model,particle swarm optimization is introduced to optimize an adjustable parameter lambda of predictive PI controller,which can improve the response speed of the system and identify better parameters effectively.And in view of the current industrial control background where PID is widely used,a PID parameter tuning method based on predictive PI control design is proposed.(3)In order to solve the output saturation constraint problem of actual industrial control,a dynamic error limiting method is proposed,which effectively solves the defect of the slow control speed of the system in the case of output constraints.And in order to realize the separation of target tracking and interference suppression,an anti-input-disturbance predictive PI algorithm is proposed,which greatly improves the robustness of the system.Finally,the SIMULINK simulation is designed to study the control effect of the algorithm in anti-disturbance and model mismatch,and it is applied in the actual system.(4)The realization of remote control system based on OPC UA is studied.OPC technology is used to solve the problem of data interaction in different control hardware devices.In addition,by putting OPC server on the cloud server,the effect of intranet penetration is achieved,and the cross-LAN connection is realized.The temperature remote control of a company's high-precision chromatography-mass analyzer shows that this method,as part of advance control scheme,effectively breaks the barrier of time and space and realizes remote control anytime and anywhere.(5)Based on OPTO22 and KEPSERVER,the engineering realization of remote control of high temperature furnace is designed.The problems of discretization of controller,encapsulation of control algorithm in PAC and remote data interaction configuration are solved.And develop HMI to realize temperature control real-time monitoring.The test results of remote control for high temperature furnace show that the system can realize the remote real-time control of the temperature,and has good control effect.