Modeling and Identification of Plate Heat Exchanger Driven by Knowledge and Data
Aiming at the problem that it is difficult to obtain all the parameters of the plate heat exchanger model in the existing district heating system and the modeling is relatively difficult,a dual-driven knowledge and data modeling and identification method for plate heat exchangers is proposed.Firstly,the control channel mechanism model is established,and the order of the disturbance channel model is determined by using the Akuchi Infomation Criterion(AIC)and Bayesian Information Criterion(BIC).Then,the parameters to be identified in the transfer function model of the plate heat exchanger are identified using the improved Bird Swarm Algorithm(BSA).Finally,error analysis and dynamic analysis of the established mathematical model,and the establishment of a PID control system with a feed-forward channel for controllability analysis to verify the model performance.The experimental results show that the knowledge and data dual-driven plate heat exchanger modeling error is small,the average absolute percentage error is 0.19％,and the control error is 0.17％,the control effect is more accurate,can accurately track the control target,and can be applied to the actual control system.
plate heat exchangerBird Swarm Algorithm(BSA)dynamic analysisPID control
万方数据
维普
