Parikshit Kishor Singh, Surekha Bhanot, Harekrishna Mohanta, "Optimal Fuzzy Logic Control of a pH Neutralization Process using Swarm and Evolutionary Algorithms," WSEAS Transactions on Systems and Control, vol. 11, pp. 229-238, 2016, DOI:
Parikshit Kishor Singh, Surekha Bhanot, Harekrishna Mohanta. Optimal Fuzzy Logic Control of a pH Neutralization Process using Swarm and Evolutionary Algorithms.
WSEAS Transactions on Systems and Control. 2016;11:229-238.
WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 11, 2016
Optimal Fuzzy Logic Control of a pH Neutralization Process using Swarm and Evolutionary Algorithms
Authors: , ,
Abstract: pH control plays an important role in many modern industrial plants due to strict environment regulations. This paper presents performance comparison of optimal fuzzy logic based pH control scheme for neutralization process using swarm and evolutionary algorithms. Particle swarm optimization (PSO) and differential evolution (DE) used to optimize the input and output membership functions of fuzzy inference system. The fitness function for optimization is integral of squared errors (ISE). Performance of control scheme has been evaluated for servo and regulatory operations.
Keywords:
pH neutralization process, fuzzy logic, nonlinear control, particle swarm optimization, differential evolution
Pages: 229-238 WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 11, 2016, Art. #26 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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