Fuzzy optimization techniques applied to the design of a digital BLDC servo drive

Kuang Y. Cheng*, Ying-Yu Tzou

*此作品的通信作者

研究成果: Conference article同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel design approach by applying fuzzy optimization techniques to design a digital brushless dc servo drive. The system specifications and design variables are firstly specified. The servo responses are then fed back to evaluate the overall system performances, which are expressed as cost functions with respect to the design variables. According to the cost functions and specifications, each design variable can be properly tuned toward the optimal value by using the proposed fuzzy optimization techniques. Besides, once the optimum design is achieved, the proposed fuzzy optimization strategy can perform as an intelligent controller for on-line gain adaptation with different loading conditions. Simulation and experimental results indicate that the servo control parameters can be optimized to achieve minimum cost under large uncertain load variations.

原文English
文章編號1022380
頁(從 - 到)1451-1456
頁數6
期刊PESC Record - IEEE Annual Power Electronics Specialists Conference
3
DOIs
出版狀態Published - 23 6月 2002
事件2002 IEEE 33rd Annual Power Electronics Specialists Conference (PESC) - Cairns, Australia
持續時間: 23 6月 200227 6月 2002

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