PID Controller Tuning using Artificial Intelligence Techniques
| dc.contributor.guide | Girish Parmar and Rajeev Gupta | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Rita Saini | |
| dc.date.accessioned | 2022-08-01T11:26:26Z | |
| dc.date.available | 2022-08-01T11:26:26Z | |
| dc.date.awarded | 2021 | |
| dc.date.completed | 2021 | |
| dc.date.registered | 2011 | |
| dc.description.abstract | Now 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.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | 5316kb | |
| dc.identifier.uri | http://hdl.handle.net/10603/396822 | |
| dc.language | English | |
| dc.publisher.institution | Electronics Engineering | |
| dc.publisher.place | Kota | |
| dc.publisher.university | Rajasthan Technical University, Kota | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Engineering Electrical and Electronic | |
| dc.title | PID Controller Tuning using Artificial Intelligence Techniques | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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