Neuro-fuzzy adaptive PID control of thermoelectric module for metal hydride reactor

Thanana Nuchkrua, Thananchai Leephakpreeda

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a neuro-fuzzy proportional integral derivative (PID) control technique for improving thermodynamic performance of a metal hydride (MH) reactor via heating/cooling effects generated by a thermoelectric module. The thermal behavior of the MH reactor coupled with a thermoelectric module is numerically studied by mathematical representations of genuine practical applications. It is found that the integrated system has strong nonlinearity owing to thermal characteristics. To obtain the desired performances of the MH reactor, a neuro-fuzzy PID control is used in real-time implementation. A non-linear optimization of a back-propagation technique is applied for fine-tuning the parameters of the neuro-fuzzy PID controller. The simulated results show the effectiveness of the proposed technique compared to conventional PID control.

Original languageEnglish
Title of host publicationDiffusion in Solids and Liquids VIII
PublisherTrans Tech Publications Ltd
Pages182-187
Number of pages6
Volume334-335
ISBN (Print)9783037856628
DOIs
StatePublished - 2013
Externally publishedYes
Event8th International Conference on Diffusion in Solids and Liquids Mass Transfer - Heat Transfer - Microstructure and Properties - Nanodiffusion and Nanostructured Materials, DSL 2012 - Istanbul, Turkey
Duration: 25 Jun 201229 Jun 2012

Conference

Conference8th International Conference on Diffusion in Solids and Liquids Mass Transfer - Heat Transfer - Microstructure and Properties - Nanodiffusion and Nanostructured Materials, DSL 2012
CountryTurkey
CityIstanbul
Period25/06/1229/06/12

Keywords

  • Metal hydride
  • Neuro-fuzzy PID control
  • Thermoelectric module

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