Particle Swarm Optimization based Fuzzy Logic Control of pH Neutralization Process

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2015-06

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IJAER

Abstract

pH control plays an important role in many modern industrial plants due to strict environment regulations. This paper presents fuzzy logic based pH control scheme for neutralization process in which particle swarm algorithm is used to optimize the input and output membership functions of fuzzy inference system. Performance of control scheme has been evaluated for servo and regulatory operations.

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Chemical Engineering, Optimization, Fuzzy Logic, EEE

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