Design and Implementation of Controller for Ph Process at Elevated Pressure
S. Vinodha1, K. Thiruppathi2, P. Lakshmi3
1Dr. K. Thiruppathi, DEEE, KCG College of Technology, Chennai (Tamil Nadu), India.
2Ms. S. Vinodha, Associate Professor, Department of EEE, Jerusalem College of Engineering, Chennai (Tamil Nadu), India.
3Dr. P. Lakshmi, DEEE, College of Engineering Guindy, Anna University, Chennai (Tamil Nadu), India.
Manuscript received on 14 July 2019 | Revised Manuscript received on 10 August 2019 | Manuscript Published on 29 August 2019 | PP: 109-113 | Volume-8 Issue-2S5 July 2019 | Retrieval Number: B10240682S519/2019©BEIESP | DOI: 10.35940/ijrte.B1024.0782S519
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper describes the modeling and control of a pH neutralization process and compares the traditional, fuzzy logic and Genetic Algorithm (GA) optimization methods for the novel deep sea microbial instrument at elevated pressure. National Institute of Ocean Technology (NIOT) has designed, developed and patented a novel instrument to mimic deep sea conditions in laboratory for deep sea microbial exploration. Controlling pH in the novel deep sea conditions mimicking laboratory system is complicated, because of high salinity, temperature stimulus, high pressure operation, and its non-linearity. To address the pH control issues a systematic real time experimental model was designed developed, implemented and analyzed. The simulation results shows that the proposed controller technique is effective in tracking set point 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 the model accuracy and the GA and fuzzy logic controller performance is superior then the other control methods and it matches favorably with the simulation results.
Keywords: Fuzzy Logic Control, Genetic Algorithm, Novel Deep Sea Microbial System, Real Time pH Control.
Scope of the Article: Quality Assurance Process, Standards, and Systems