A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC system

A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID... •Decoupling of a heating, ventilation, and air conditioning system is presented.•RBF models were identified by Epsilon constraint method for temperature and humidity.•Control settings derived from optimization of the decoupled model.•Epsilon constraint-RBF based on PID controller was implemented to keep thermal comfort and minimize energy.•Enhancements of controller parameters of the HVAC system are desired. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Thermal Engineering Elsevier

A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC system

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Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier Ltd
ISSN
1359-4311
eISSN
1873-5606
D.O.I.
10.1016/j.applthermaleng.2016.01.025
Publisher site
See Article on Publisher Site

Abstract

•Decoupling of a heating, ventilation, and air conditioning system is presented.•RBF models were identified by Epsilon constraint method for temperature and humidity.•Control settings derived from optimization of the decoupled model.•Epsilon constraint-RBF based on PID controller was implemented to keep thermal comfort and minimize energy.•Enhancements of controller parameters of the HVAC system are desired.

Journal

Applied Thermal EngineeringElsevier

Published: Apr 25, 2016

References

  • RBF based PID control and simulation
    Chen, Y.
  • Fuzzy control of HVAC systems optimized by genetic algorithms
    Alcala, R.; Benitez, J.M.; Casillas, J.; Cordon, O.; Perez, R.
  • A new pattern recognition adaptive controller with application to HVAC systems
    Seem, J.E.
  • Application of temperature fuzzy controller in an indirect resistance furnace
    Radakovic, Z.R.; Milosevic, V.M.; Radakovic, S.B.
  • Discharge air system: modelling and optimal control
    Zheng, G.R.; Zaheer-Uddin, M.
  • Cooling output optimization of an air handling unit
    Kusiak, A.; Li, M.
  • Energy conservation in buildings through efficient A/C control using neural networks
    Ben-Nakhi, A.E.; Mahmoud, M.A.
  • A Study on PID Intelligent Optimization Based on Radial Basis Function Neural Networks
    Wei, W.; Sheng, Z.; Guopeng, Z.

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