Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
High-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and spac...
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MDPI AG
2021
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oai:doaj.org-article:f10d2a3525b346539d5f5c4e077b9b7a2021-11-25T18:23:15ZEfficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models10.3390/mi121113412072-666Xhttps://doaj.org/article/f10d2a3525b346539d5f5c4e077b9b7a2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1341https://doaj.org/toc/2072-666XHigh-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and space mapping technology. The reported method is useful for the development of broadband and highly accurate data-driven models of integrated inductors within a practical timeframe, especially in terms of the computational expense of training data acquisition. Application of the constructed surrogate model for rapid design optimization of a compact on-chip inductor is demonstrated. The optimized EM-validated design solution can be reached at a low computational cost, which is a considerable improvement over existing approaches. In addition, this work provides a description and illustrates the usefulness of a multi-fidelity design optimization method incorporating EM computational models of graduated complexity and local polynomial approximations managed by an output space mapping optimization framework. As shown by the application example, the final design solution is obtained at the cost of a few high-fidelity EM simulations of a small-size integrated coil. A supplementary description of variable-fidelity EM computational models and a trade-off between model accuracy and its processing time complements the work.Piotr KurganMDPI AGarticleintegrated inductorselectromagnetic simulationsurrogate modelingdesign optimizationsimulation-driven designspace mappingMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1341, p 1341 (2021) |
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integrated inductors electromagnetic simulation surrogate modeling design optimization simulation-driven design space mapping Mechanical engineering and machinery TJ1-1570 |
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integrated inductors electromagnetic simulation surrogate modeling design optimization simulation-driven design space mapping Mechanical engineering and machinery TJ1-1570 Piotr Kurgan Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models |
description |
High-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and space mapping technology. The reported method is useful for the development of broadband and highly accurate data-driven models of integrated inductors within a practical timeframe, especially in terms of the computational expense of training data acquisition. Application of the constructed surrogate model for rapid design optimization of a compact on-chip inductor is demonstrated. The optimized EM-validated design solution can be reached at a low computational cost, which is a considerable improvement over existing approaches. In addition, this work provides a description and illustrates the usefulness of a multi-fidelity design optimization method incorporating EM computational models of graduated complexity and local polynomial approximations managed by an output space mapping optimization framework. As shown by the application example, the final design solution is obtained at the cost of a few high-fidelity EM simulations of a small-size integrated coil. A supplementary description of variable-fidelity EM computational models and a trade-off between model accuracy and its processing time complements the work. |
format |
article |
author |
Piotr Kurgan |
author_facet |
Piotr Kurgan |
author_sort |
Piotr Kurgan |
title |
Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models |
title_short |
Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models |
title_full |
Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models |
title_fullStr |
Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models |
title_full_unstemmed |
Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models |
title_sort |
efficient surrogate modeling and design optimization of compact integrated on-chip inductors based on multi-fidelity em simulation models |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/f10d2a3525b346539d5f5c4e077b9b7a |
work_keys_str_mv |
AT piotrkurgan efficientsurrogatemodelinganddesignoptimizationofcompactintegratedonchipinductorsbasedonmultifidelityemsimulationmodels |
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1718411294366760960 |