Multiple-model control of pH neutralization plant using the SOM neural networks

A multiple-model adaptive controller is developed using the self-organizing map (SOM) neural network. The considered controller which we name it as multiple controller via SOM (MCSOM) is evaluated on the pH neutralization plant. An improved switching algorithm based on excitation level of plant has...

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Bibliographic Details
Published in2008 Annual IEEE India Conference Vol. 1; pp. 115 - 119
Main Authors Bashivan, P., Fatehi, A., Peymani, E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Adaptive control
Automatic control
Clustering algorithms
Estimation error
Mathematical model
Neural networks
Performance analysis
Programmable control
State feedback
Switches
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Summary:A multiple-model adaptive controller is developed using the self-organizing map (SOM) neural network. The considered controller which we name it as multiple controller via SOM (MCSOM) is evaluated on the pH neutralization plant. An improved switching algorithm based on excitation level of plant has also been suggested for systems with noisy environments. Identification of pH plant using SOM is discussed and performance of the multiple-model controller is compared to the self tuning regulator (STR) controller.
ISBN:142443825X
9781424438259
ISSN:2325-940X
DOI:10.1109/INDCON.2008.4768811