ON-LINE TRAINING MODELLING AND CONTROL USING NEURAL NETWORKS, FOR VAPOUR PRESSURE REFRIGERATION SYSTEMS

摘要：

This work uses the Neural Network (NN) technique to model and control an experimental vapor compression refrigeration system set up, using two manipulated variables (compressor rotation, expansion valve electronically actuated). It was used a dynamic perception multi layed NN, with the NN delayed, and a back propagation algorithm with sigmoid actuation fraction. To model the system and a Neural prediction with correction, MISO type control. Paper relates, training techniques used using single and simultaneous controlled variables inputs the NN technique used shows good dynamic stability, short time actuation and easy way of implementation.

作者: J.A.B.TUMIALAN O.S.M.HERNANDEZ E.P.BANDARRA FILHO F.E.M.GARCIA

作者单位: LA SALLE UNIVERSITY Bogotá, Colombia FEDERAL UNIVERSITY OF UBERLANDIA Av. Joao Naves de Avila, 2160 – bloco 1M – Santa Monica Uberlandia

会议类型: 国际会议

会议名称: The 22nd International Congress of Refrigeration(第22届国际制冷大会)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-21（万方平台首次上网日期，不代表论文的发表时间）