Comparative analysis of Hybridization ofNeuro-Fuzzy and Adaptive Neuro Fuzzy forTemperature Control in A Heat Exchanger

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

Sunil S.Admuthe¹  Rajan H.Chile²  Mrs.Lalita S.Admuthe³ 

[1] Department of Instrumentation Engg P.V.P.Institute of Technology;Department of Instrumentation Engg.;Department of Electronics Engg., DKTE‟s Textile and Engg. Institute

关键词: Liquid Heating System;    Heat Exchanger;    Neuro Fuzzy controller(NFC);    Adaptive Neuro FuzzyController (ANFIS);    Subtractive clustering;    Liquid Temperature;    Desire Temperature;   

来源: Research & Reviews

【 摘 要 】

To achieve desired temperature is a difficult task, in controlling a temperature of heat exchanger as temperature of liquid changes in different ranges. So an attempt has been made to control temperature of Heat Exchanger by using soft computing methods.This paper features the influence of different controllers like Neuro-Fuzzy and Adaptive Neuro Fuzzy upon the process model of Heat exchanger. Neuro-Fuzzy controller (NFC),which is combination of Neural Network(NN) and Fuzzy Logic Controller(FLC) .Adaptive Neuro-Fuzzy Inference System (ANFIS) is also combination of Neural Network and Fuzzy Logic with adaptive structure. The proposed system is modeled in simulation platform and the output performances are evaluated .The performance has been compared and results show the better superiority for ANFIS.

【 授权许可】

Unknown