PID Controller Tuning using Artificial Intelligence Techniques

dc.contributor.guideGirish Parmar and Rajeev Gupta
dc.coverage.spatial
dc.creator.researcherRita Saini
dc.date.accessioned2022-08-01T11:26:26Z
dc.date.available2022-08-01T11:26:26Z
dc.date.awarded2021
dc.date.completed2021
dc.date.registered2011
dc.description.abstractNow a days, new techniques are invented to carry out the improvement in the newlineconventional controllers used for various processes or plants. Among all kinds of newlinecontrollers, Proportionali Integrali Derivativei (iPIDi) controlleri isi iwell-knowni and newlinewidely used ifor industrial controli processesi duei toi itsi easy implementation, simplei newlinestructurei andi robusti performancei over widei rangei ofi operatingi iconditions. PID newlinecontroller improves the time-domain characteristics, i.e. the transient and steady state newlinebehaviors of a plant. newlineRecently, fractional calculus has come into the picture for wide range of newlineengineering applications and one of its application is seen in the field of design of PID newlinecontroller. The fractional calculus yields the fractional order PID controller (FOPID) newlinewhich improves its working in various industrial systems while offering an excellent newlinemechanism for the portrayal of fundamental and innate properties of the diverse newlinetechniques and materials of conventional PID. FOPID exhibits the enhanced response, newlineimproved stability and robustness of performance. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent5316kb
dc.identifier.urihttp://hdl.handle.net/10603/396822
dc.languageEnglish
dc.publisher.institutionElectronics Engineering
dc.publisher.placeKota
dc.publisher.universityRajasthan Technical University, Kota
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.titlePID Controller Tuning using Artificial Intelligence Techniques
dc.title.alternative
dc.type.degreePh.D.

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