磁浮冰水機偏心力抑參數制調配自動化

Auto-tuning of Unbalance Force Rejection Control parameters for maglev chiller

黃緯滔(Wei-Tao Huang) ； 陳兆芸(Chao-Yun Chen)

《冷凍空調&能源科技》 130期 (2021/11) Pp. 75-80

https://doi.org/10.29911/JEHVACE_NEW.202111_(130).0007

摘要

隨著主動式磁浮軸承逐漸普及，需花費大量人力及時間成本處理在不同場域及應用下導致控制參數不同，故本研究提出使用機器學習中的技巧，嘗試實現由程式自動完成主動式磁浮軸承控制參數中的偏心力抑制參數，並試著討論該方法之可行性。

關鍵字

主動式磁浮軸承 ； 機器學習 ； 人工智慧

並列摘要

With the gradual popularity of active magnetic bearings, it takes a lot of manpower and time to deal with the different control parameters in different fields and applications. Therefore, this research proposes to use machine learning techniques to realize the unbalance force rejection control parameter in the active magnetic bearing control automatically, which is completed by the program. Then try to discuss the feasibility of this method.

參考文獻

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