NDLI: System-Level Design Optimization Method for Electrical Drive Systems

Content Provider	IEEE Xplore Digital Library
Author	Gang Lei Tianshi Wang Jianguo Zhu Youguang Guo Shuhong Wang
Copyright Year	1982
Abstract	A system-level design optimization method under the framework of a deterministic approach was presented for electrical drive systems in our previous work, in which not only motors but also the integrated control schemes were designed and optimized to achieve good steady and dynamic performances. However, there are many unavoidable uncertainties (noise factors) in the industrial manufacturing process, such as material characteristics and manufacturing precision. These will result in big fluctuations for the product's reliability and quality in mass production, which are not investigated in the deterministic approach. Therefore, a robust approach based on the technique of design for six sigma is presented for the system-level design optimization of drive systems to improve the reliability and quality of products in batch production in this work. Meanwhile, two system-level optimization frameworks are presented for the proposed method, namely, single-level (only at the system level) and multilevel frameworks. Finally, a drive system is investigated as an example, and detailed results are presented and discussed. It can be found that the reliability and quality levels of the investigated drive system have been greatly increased by using the proposed robust approach.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	4702
Ending Page	4713
Page Count	12
File Size	1771845
File Format	PDF
ISSN	02780046
Volume Number	62
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Optimization methods Algorithm design and analysis System-level design Noise transverse flux machine Design for six-sigma electrical drive systems model predictive control robust design system level design optimization transverse flux machine (TFM) Design for six sigma (DFSS) model predictive control (MPC) system-level design optimization
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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