文章基本信息

标题：Decoupling and Linearizing of a pH Plant using Hirschorn’s and Genetic Algorithms
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作者：D. Subbulekshmi ; J. Kanakaraj
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2012
卷号：8
期号：8
页码：1422-1427
DOI：10.3844/jcssp.2012.1422.1427
出版社：Science Publications
摘要：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).