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Cognitive Insights into Metaheuristic Digital Twin based Health Monitoring of DC-DC Converters
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| Author(s) |
Abdul Basit MIRZA |
| Abstract |
This paper extends the concept of Digital Twin (DT) to component level health monitoring in DC-DC converters through metaheuristic optimization methods. The efficacy of the proposed DT-based health monitoring is demonstrated on a higher order two-phase interleaved boost converter with coupled inductor with more parameters to estimate. The performance of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is compared on HIL and hardware prototype. According to the results, GA outperforms PSO with better accuracy sup. 95 \% . |
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| Filename: | 0051-epe2022-full-05280144.pdf |
| Filesize: | 2.906 MB |
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| Type |
Members Only |
| Date |
Last modified 2023-09-24 by System |
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