Decoupling and Linearizing of a pH Plant using Hirschorn’s and Genetic Algorithms
- 1 PSG College of Technology, India
Copyright: © 2020 D. Subbulekshmi and J. Kanakaraj. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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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- Genetic algorithm
- Hirschorn's algorithm
- multivariable process control
- PID controller