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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kamal Basha, C | - |
dc.contributor.author | Mohan Krishna, S | - |
dc.date.accessioned | 2023-12-19T05:08:57Z | - |
dc.date.available | 2023-12-19T05:08:57Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Vol. 105; pp. 609-618 | en_US |
dc.identifier.isbn | 9789811319266 | - |
dc.identifier.isbn | 9789811319273 | - |
dc.identifier.issn | 2190-3018 | - |
dc.identifier.issn | 2190-3026 | - |
dc.identifier.uri | https://doi.org/10.1007/978-981-13-1927-3_64 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2593 | - |
dc.description.abstract | The major advantages of sensorless induction motor drives are reliability and low cost due to exclusion of sensors. The sensorless schemes proceed with the speed estimate and other critical parameters as a first step. In most of the recent works, extended Kalman filter (EKF) is used to estimate the speed. The major drawback in the above-mentioned method is high computational time. In this paper, a new method has been proposed for speed estimation of sensor less induction motor using wavelet based EKF. The wavelet is used to reduce the number of iterations in EKF and the computational time is reduced. The results obtained have validated the same. © Springer Nature Singapore Pte Ltd. 2019. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Smart Innovation, Systems and Technologies | en_US |
dc.subject | Extended Kalman filter | en_US |
dc.subject | Sensorless induction motor | en_US |
dc.subject | Speed control | en_US |
dc.subject | Speed estimation | en_US |
dc.subject | Wavelet | en_US |
dc.title | An Effective Technique For Controlling The Speed of Sensorless Induction Motor Through Modified EKF | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
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