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DC Field | Value | Language |
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dc.contributor.author | Angadi S. | |
dc.contributor.author | Yaragatti U.R. | |
dc.contributor.author | Suresh Y. | |
dc.contributor.author | Raju A.B. | |
dc.date.accessioned | 2021-05-05T10:15:54Z | - |
dc.date.available | 2021-05-05T10:15:54Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | Lecture Notes in Electrical Engineering , Vol. 686 , , p. 155 - 166 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-981-15-7031-5_15 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/14873 | - |
dc.description.abstract | Maximum Power Point Tracking (MPPT) algorithms are imperative in solar Photovoltaic (PV) systems. This paper presents a simple approach for real-time implementation of perturbation-based MPPT algorithms employing model-based design (MBD) and Rapid Control Prototyping (RCP). To validate the proposed approach, classic Perturb and Observe (P&O) algorithm is tested. Altair’s Embed software and low-cost Texas Instruments (TI) DSP controller is used for implementation. All the fundamental blocks required for the implementation of perturbation-based MPPT algorithms are discussed in detail. Hardware-in-Loop (HIL) simulation using Altair Embed for selection of appropriate sampling time and perturbation step size is demonstrated. The readers will also be presented with details of fundamental fixed point blocks of Altair Embed software for the implementation of other MPPT algorithms using low-cost controllers. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | en_US |
dc.title | Implementation of Perturbation-Based MPPT Technique Using Model-Based Design | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | 2. Conference Papers |
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