Multi-objective Dynamic Optimization Control For The Whole Production Process

Process industry is an important basic industry in my country,and its development directly affects the country's economic foundation.The entire production process is a continuous and complex manufacturing process that includes physical and chemical reactions,and the coexistence of gas,liquid,and solid polymorphisms.The flow,pressure,liquid level,and temperature must be controlled during the entire process.From the beginning to the stable operation stage,all links and parameters in the system have been in the process of dynamic changes.In the whole production process system,due to the material transmission,reaction and energy exchange requiring a certain time,there is a large pure lag phenomenon,which leads to the problem of poor real-time control of the system.In response to this problem,this research proposes a dynamic matrix prediction fuzzy adaptive PID control method.The main tasks are as follows:First,the control loop diagram is given based on the analysis of each device of the research object of the whole production process system,and the reasons and characteristics of the time lag are analyzed.Three classic control algorithms for time-delay systems are given: PID control algorithm,derivative-first control algorithm and Smith control algorithm.Secondly,based on the analysis of the classic algorithm,in order to solve the problem that the classic control algorithm is not ideal for the control effect of the complex time-delay system,this paper constructs a dynamic matrix predictive fuzzy adaptive PID control algorithm.On the one hand,the control algorithm can predict the output of the controller at a few moments in the future through the dynamic matrix controller to ensure that the controller will act in advance;on the other hand,through the fuzzy adaptive PID controller,the control is corrected according to the deviation between the predicted output and the actual output.The output of the dynamic matrix controller.Once again,simulation is based on MATLAB to verify the feasibility of the algorithm.The classic algorithm is compared with the algorithm proposed in this paper.The simulation results show that compared with PID control,differential first control,Smith control,fuzzy PID control and dynamic matrix control,the dynamic matrix predictive fuzzy adaptive PID control proposed in this paper is significantly improved The real-time performance and anti-interference ability of the system.Finally,experiments are conducted based on experimental facilities to verify the effectiveness of the algorithm.In this study,an experimental facility for the entire production process system was constructed,and the control of the entire production process system was completed based on the PCS7 process control system.Aiming at the problem that the PLC programming language is simple in function and difficult to program complex algorithms,this paper uses OPC technology to realize data exchange between MATLAB and WinCC,and uses MATLAB configuration control algorithm to realize the entire production process system through OPC communication.Figure [88] table [11] reference [80]...