Research On Multi-objective Optimization Predictive Control Algorithm And Its Application In Grate Cooler

With the development of science and technology,with the rapid development of the cement industry,more and more people pay more attention to the problem of energy consumption and environmental pollution.With the increase of controlled variables and the improvement of control quality in the development of modern industry,according to the shortcomings of model predictive control algorithm,it is of great significance to optimize the existing modeling and control methods for improving the effect of industrial process control.Based on the relationship between the main parameters of the grate cooler during the heat transfer process,a multi-objective optimization predictive control algorithm based on trapezoidal interval constraint and a fuzzy ARX identification algorithm based on zooming genetic algorithm are proposed.The specific research work is as follows:Firstly,according to the method and principle of predictive control algorithm and multi-objective optimization method,the common methods in the field of predictive control and multi-objective optimization are studied at present.The research status of the multi-objective optimization predictive control algorithm is deeply analyzed,and the optimization method of the epsilon constraint method is selected as the multi-objective function solution,and the restricted domain is also given.The optimization process is optimized,which reduces the computational complexity and improves the accuracy of multi-objective function optimization.Secondly,based on the linear model,a multi-objective optimization predictive control algorithm based on the soft constraints of the trapezoid interval is proposed.The algorithm through the practical industrial tolerance interval and target value to determine the interval trapezoidal taking into account,in the industry control process,multiple target coupling interference and other issues,to establish the two objective function,and the improved constraint method is applied to solve the multi-objective function.In order to reduce the calculation amount in the solution process,the degree of freedom is increased and the anti-interference ability of the system is improved.Then,for the multivariable nonlinear system,the T-S fuzzy model is used as the steady nonlinear model of the system.The ARX model is used as the dynamic linear model of the system.The ARX model is corrected by the gain obtained from the T-S fuzzy model,and the fuzzy ARX model is established.A zoom genetic algorithm is used to optimize the precondition parameters of the membership function in the fuzzy model,and finally the conclusion parameters are determined.On the basis of this,a fuzzy ARX model identification algorithm based on zoom genetic algorithm is proposed.Finally,according to the working principle of the grate cooler,through the in-depth analysis of the main parameters in the heat exchange process of the cement grate cooler,the appropriate control parameters are selected,the prediction model is established by the data obtained in the production practice,and the pretest controller of the multi target optimization model of the trapezoid zone soft constraint is designed.The simulation experiment proves that the model is designed.The effectiveness of the algorithm in this paper.