Design and Investigation of Bio-inspired Optimization based I-PD controller for pH Neutralization Process

In chemical industrial treatment, excess alkalinity or acidity must normally be neutralised. One of the most significant components of neutralising water is determining the composition of the substances that cause acidity and alkalinity. Because a small change in the input value causes a huge change...

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Bibliographic Details
Published in2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) pp. 739 - 744
Main Authors Kumar, K. Senthil, Nasir, Abdul Wahid, Mani, P., Kasireddy, Idamakanti, SivaramKrishnan, M., Ramkumar, M. Siva
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.10.2021
Subjects
Biological system modeling
Chemicals
Genetic Algorithm
Genetic algorithms
I-PD
Nonlinear process
Optimization
Particle swarm optimization
pH Neutralization process
Process control
Time-domain analysis
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Summary:In chemical industrial treatment, excess alkalinity or acidity must normally be neutralised. One of the most significant components of neutralising water is determining the composition of the substances that cause acidity and alkalinity. Because a small change in the input value causes a huge change in the output value, pH control is critical. The controllers are tuned using the Genetic Algorithm. I-PD controllers based on Genetic Algorithms technique and Particle Swarm Optimization technique are constructed and compared. The performance of I-PD controllers is assessed in zones such as Acid, Neutral, and Base, with set points of 3, 7, and 10 respectively. Based on the simulation findings, it is found that for the pH neutralisation process, a PSO-based I-PD controller delivers lower error values than a GA-based I-PD controller.
DOI:10.1109/ICOSEC51865.2021.9591808