Research Article Open Access

Decoupling and Linearizing of a pH Plant using Hirschorn’s and Genetic Algorithms

D. Subbulekshmi1 and J. Kanakaraj1
  • 1 PSG College of Technology, India
Journal of Computer Science
Volume 8 No. 9, 2012, 1422-1427

DOI: https://doi.org/10.3844/jcssp.2012.1422.1427

Submitted On: 11 January 2012 Published On: 9 August 2012

How to Cite: Subbulekshmi, D. & Kanakaraj, J. (2012). Decoupling and Linearizing of a pH Plant using Hirschorn’s and Genetic Algorithms. Journal of Computer Science, 8(9), 1422-1427. https://doi.org/10.3844/jcssp.2012.1422.1427

Abstract

Problem statement: This study is to maintain the interacting liquid level and pH parameter at a desired value. The purpose of decoupling and linearization algorithm is to prevent interaction and making the system linear. Approach: In this study Hirchorn’s and Genetic Algorithms (GA) are proposed to make the system linear, non interacting system. This study presents the performance comparison of Hirschorn’s (decoupling and linearization algorithm) and Genetic Algorithms (GA) for a approximated model of Interacting level and pH non-linear process. Results: Closed loop simulation was carried out incorporating the above algorithm and the results are compared. Control performance with Hirschorn’s is found to give better results than with GA. Conclusion: This study demonstrates the effectiveness of Hirchorn’s algorithm in MIMO nonlinear interacting process. Obtained control laws for Hirschorn’s algorithm give improved values for Settling Time (Ts) and Integral Square Error (ISE).

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Keywords

  • Genetic algorithm
  • Hirschorn's algorithm
  • multivariable process control
  • PID controller