Application-Oriented Robust Design Optimization Method for Batch Production of Permanent Magnet Motors

Publication Type:
Journal Article
Citation:
IEEE Transactions on Industrial Electronics, 2017
Issue Date:
2017-08-31
Full metadata record
Files in This Item:
Filename Description Size
17982F6D-E76B-4125-A7B1-551E630EBBB6 am.pdfAccepted Manuscript Version1.47 MB
Adobe PDF
IEEE From the perspective of industrial production, the design and optimization of electrical machines are application oriented, including maximizing production quality and minimizing production cost in terms of different manufacturing conditions. To achieve these goals, this work presents an efficient application-oriented robust design optimization method for permanent magnet (PM) motors. The method consists of two main contributions. The first one is the development of an overall optimization strategy including qualitative and quantitative analyses to provide possible options for an application. Multi-physics analysis, uncertainty analysis, production cost and optimization models need to be investigated. The second one proposes a multilevel optimization method for the high-dimensional robust design problem of each option. To illustrate the advantages of the proposed method, PM motors with soft magnetic composite cores are investigated for domestic applications. The design optimization is conducted in terms of three motor options and three batch production volumes for both conventional deterministic and robust approaches, and it consists of eighteen high-dimensional multi-physics optimization problems in total. Main optimization results are presented and discussed. Experimental and simulation results are presented to validate the effectiveness of the proposed models and methods.
Please use this identifier to cite or link to this item: