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Simulation study of ANFIS controller for sensorless induction motor drives at low speeds [articol]
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| dc.contributor.author | Maheswari, N.V. Uma | |
| dc.contributor.author | Sahaya Shanthi, L. Jessi | |
| dc.date.accessioned | 2025-02-13T10:42:44Z | |
| dc.date.available | 2025-02-13T10:42:44Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Maheswari,N.V. Uma; Sahaya Shanthi, L. Jessi. Simulation study of ANFIS controller for sensorless induction motor drives at low speeds. Timişoara: Editura Politehnica, 2019. | en_US |
| dc.identifier.issn | 1582-4594 | |
| dc.identifier.uri | https://dspace.upt.ro/xmlui/handle/123456789/7151 | |
| dc.description.abstract | In this paper, a novel Adaptive Neuro Fuzzy Inference System (ANFIS) is proposed for indirect vector controlled induction motor drives. This proposed ANFIS controller is used in the adaptation mechanism of the conventional model reference adaptive system. This Neuro Fuzzy observer is trained with hybrid algorithm. A comparative study between PI, Fuzzy and ANFIS based MRAS is carried out in low and zero speed operating regions. Simulation is carried out in Matlab/Simulink environment. Simulation study shows that robustness and stability of the system is better with ANFIS based MRAS system. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Timișoara : Editura Politehnica | en_US |
| dc.relation.ispartofseries | Journal of Electrical Engineering;Vol 19 No 1 | |
| dc.subject | Adaptive Neuro Fuzzy Inference System | en_US |
| dc.subject | Fuzzy | en_US |
| dc.subject | Model reference adaptive system | en_US |
| dc.subject | Sensorless | en_US |
| dc.title | Simulation study of ANFIS controller for sensorless induction motor drives at low speeds [articol] | en_US |
| dc.type | Article | en_US |
