Optimal Control And Economic Model Predictive Control For Binary System Polymerization Process

Biochemical reaction process has the characteristics of parameter uncertainty,process nonlinearity and information incompleteness,etc.In addition,the economic benefits of the reaction process need to be considered.Therefore,the research on biochemical reaction process modeling,model behavior analysis and controller design has certain theoretical and practical significance.This paper takes the binary system polymerization process as the research object,and studies it from the perspective of model dynamics analysis,parameter disturbance analysis and cybernetics,which has certain reference value for improving the control quality and economy of the binary system polymerization process.The research of this paper is mainly carried out from the following aspects:Firstly,the kinetic behavior of the reactor model of continuous stirred tank in the polymerization process of binary system was analyzed.The non-dimensional model is obtained by de-dimensionalization,and the dynamics analysis is carried out for the uncontrolled system and the controlled system respectively.The results show that there are two stable equilibrium points and one unstable equilibrium point in the system when the reactant input concentration is within a certain range.At the same time,according to the random noise disturbance of system parameter B,the influence of the disturbance size on the system behavior is analyzed,and according to the system model,the critical value of the noise intensity that changes the system dynamic behavior is given.When the noise intensity is less than the critical value,the noise has a certain influence on the system dynamic behavior,but does not change its basic state.When the noise intensity is greater than the critical value,the basic configuration of the system will be changed.For a controlled system,the amount of control variables will affect or change the number of system equilibrium states.Secondly,on the basis of kinetic behavior analysis,the optimal control of the reaction process is studied in order to maximize the steady state reactant conversion rate.The solution in the initial state of the non-ideal region of the system is adjusted to the ideal region through the control implementation,and then the ideal steady-state value is reached to realize the optimization of the control objective.Finally,based on the analysis of the CSTR model,the optimal control problem of the CSTR reaction process is studied,and the optimal economic benefit is achieved under the condition of meeting the control requirements.The bimodal economic model predictive control strategy is designed,combined with the control requirements of the process disturbance system and the economic function design idea to realize the control of the CSTR system.Compared with traditional double-layer MPC and EMPC with terminal constraints,the simulation demonstrates the superiority of dual-mode EMPC.To improve the computational efficiency of the above control strategy and reduce the complexity of optimization problems,event-triggered control and dual-mode The EMPC combines to form an event-trigger-dual-mode EMPC control strategy,and the algorithm control efficiency is controlled by designing trigger conditions.The simulation results show that the combined control strategy greatly improves the computational efficiency on the basis of ensuring control quality and economic benefits.