intelligent techniques for system identification and controller tuning in ph process

Clicks: 224
ID: 147507
2009
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Abstract
This paper presents an application of Artificial Neural Network (ANN) and Genetic Algorithm (GA) for system identification for controller tuning in a pH process. In this paper, the ANN based approach is applied to estimate the system parameters. Once the variations in parameters are identified frequently, GA optimally tunes the controller. The simulation results show that the proposed intelligent technique is effective in identifying the parameters and has resulted in a minimum value of the Integral Square Error, peak overshoot and minimum settling time as compared to conventional methods. The experimental results show that their performance is superior and it matches favorably with the simulation results.
Reference Key
valarmathi2009brazilianintelligent Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;K. Valarmathi;D. Devaraj;T. K. Radhakrishnan
Journal database and network journal
Year 2009
DOI
10.1590/S0104-66322009000100010
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322009000100010
Keywords
artificial neural network PID controller genetic algorithm system identification ph processchemical engineering

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