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dc.contributor.authorKantha, Aditya Sarjak-
dc.contributor.authorUtkarsh, Ayush-
dc.contributor.authorRavi kumar, J.-
dc.date.accessioned2025-01-17T06:45:49Z-
dc.date.available2025-01-17T06:45:49Z-
dc.date.issued2015-
dc.identifier.citation10.1109/ICIINFS.2014.7036611en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2736-
dc.descriptionNITWen_US
dc.description.abstractThis paper presents a hybrid model of particle swarm optimization and genetic algorithm for tuning of PID controller parameters for a concentration control of isothermal continuously stirred tank reactor which is generally used to carry out chemical reactions in an industry on a large scale. The time domain study of different methods for tuning of PID controller parameters were observed and it was found that PSO(Particle Swarm Optimization)performance was better than GA(Genetic Algorithm) but the hybrid of GA-PSO gave the best output results in the observation to control the concentration of isothermal continuous stirred tank reactor.en_US
dc.language.isoenen_US
dc.publisher9th International Conference on Industrial and Information Systems, ICIIS 2014en_US
dc.subjectCSTRen_US
dc.subjectHybrid GA-PSOen_US
dc.titleHybrid Genetic Algorithm-Swarm Intelligence Based Tuning of Continuously Stirred Tank Reactoren_US
dc.typeOtheren_US
Appears in Collections:Chemical Engineering

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