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Parametric Design Analysis of Magnetic Sensor Based on Model Order Reduction and Reliability-Based Design Optimization.
- Source :
- IEEE Transactions on Magnetics; Mar2018, Vol. 54 Issue 3, p1-4, 4p
- Publication Year :
- 2018
-
Abstract
- This paper presents a novel parametric design analysis of the magnetic sensor module used to find mover positions in linear motors. The proposed framework utilizes a computationally inexpensive proper orthogonal decomposition-dynamic mode decomposition-based model order reduction (MOR), coupled with a multiparameter moment matching method. The model is then utilized by a moment-based probabilistic design optimization method that considers the manufacturing uncertainties to find the optimal sensor design. A magnetic sensor module is designed for employing the proposed framework, and the results show that: 1) the proposed MOR technique is accurate; 2) the reliability analysis performed during the probabilistic design optimization can help to reduce the excessive non-compliance costs for the manufacturers; and 3) the combined framework is able to significantly expedite the optimal design search. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189464
- Volume :
- 54
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Magnetics
- Publication Type :
- Academic Journal
- Accession number :
- 128192069
- Full Text :
- https://doi.org/10.1109/TMAG.2017.2754286