Use of neural networks as a tuning method for an adaptive PID: Application in a heat exchanger

Chemical Engineering Research and Design

Volumn 78, Issue 8, 2000, Pages 1115-1119

  Riverol, C ^a   Napolitano, V ^b  

^a EUTIF Campus Xunqueiras ^*  (Spain)

^b School of Industrial Engineering   (Venezuela)

Author keywords

Adaptive controller; Heat exchanger; IMC; Neural networks; PID

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; INTELLIGENT CONTROL; MATHEMATICAL MODELS; NEURAL NETWORKS; THREE TERM CONTROL SYSTEMS; TUNING;

INTERNAL MODEL CONTROL (IMC);

HEAT EXCHANGERS;

ADAPTIVE CONTROL; HEAT EXCHANGER; NEURAL NETWORK; PROPORTIONAL CONTROL SYSTEM;

EID: 0034315035     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1205/026387600528391     Document Type: Article

References (9)

1. Nonlinear internal model control strategy for neural network models
2. Condensing and evaporating heat transfer and pressure drop characteristics of HFC-134a and HCFC-22
3. Feedback linearization of a heat exchanger
4. An overview of neural networks. Part I: Static networks