Particle Swarm Optimization based Fuzzy Logic Control of pH Neutralization Process

dc.contributor.authorMohanta, Hare Krishna
dc.contributor.authorBhanot, Surekha
dc.date.accessioned2021-10-05T11:51:09Z
dc.date.available2021-10-05T11:51:09Z
dc.date.issued2015-06
dc.description.abstractpH 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.en_US
dc.identifier.urihttp://www.ripublication.com/Volume/ijaerv10n63spl.htm
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/2538
dc.language.isoenen_US
dc.publisherIJAERen_US
dc.subjectChemical Engineeringen_US
dc.subjectOptimizationen_US
dc.subjectFuzzy Logicen_US
dc.subjectEEEen_US
dc.titleParticle Swarm Optimization based Fuzzy Logic Control of pH Neutralization Processen_US
dc.typeArticleen_US

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