本論文之研究主要針對馬達在不同階段所需之檢測目的，提出對應之馬達檢測技術。於馬達製造期時，為了使設計者能快速驗證馬達原型之最大效率是否達到設計要求，本論文透過雙端網路法(Two-port Network)原理，快速估算馬達最大效率值，不需透過動力計設備，可有效縮短驗證時程。另外，當馬達進入量產階段時，對於馬達製造商來說，因動力計量測對於量產馬達只能抽樣檢查，故如何快速且精準的獲得馬達特性並達到全面性的品質檢驗是最重要的課題，本論文提出永磁馬達特性快速檢測系統，不同於常見的檢測系統只適用於啟動至穩態時間較長且高轉速的馬達量測，使其可應用於啟動至穩態時間較短且低轉速的輪轂馬達上，提高馬達特性快速檢測系統的泛用性。當此系統應用於馬達生產線之檢測時，可快速瞭解馬達性能並大大減少量測馬達的時間，達到產線馬達全檢之功用。量產完畢後，當馬達實際應用於機械設備時，為了避免馬達機台長期操作下可能發生的異常情形，使能保持穩定生產效率，需要隨時監測馬達運轉狀況，本論文以馬達電流訊號為主，並搭配希爾伯特-黃轉換(Hilbert Huang Transform, HHT)訊號處理方法，即時線上監測馬達運轉情況，提高系統可靠性，並以計劃性的事前保養取代備品更換來實現不拆解維修。最後，本論文亦提出H∞類PID控制器，可直接以強健控制設計法求得PID控制器參數，並結合雙端網路原理以及希爾伯特-黃轉換，完成具有自動判斷穿透偵測時機的鑽骨系統。

PM motors play an important role in the industrial applications due to their outstanding efficiency and convenience. Generally speaking, manufacturing process of motor can be classified as three stages: motor designing stage, mass production stage and motor motor application stage. This thesis proposed serval monitoring technologies of PM motors to examine the quality of motor in each stage. In the motor designing stage, a technique for quickly predicting the maximum efficiency of motor is presented based on two-port network description in this thesis. Then, in order to enhance quality of motor productions during the mass production stage, a motor inspection system is proposed in this thesis which can measure back-emf constant, rated speed and T-N curve within 40 seconds. Finally, in the motor application stage, the development of self-diagnostic techniques is presented in this thesis to prevent the faults occurring in the servo motor which will lead to shut down in the production line. Besides, this thesis proposes a new measurement for monitoring dynamic changes of mechanical impedance without applying conventionally mechanical sensors based on a Chain Scattering Description and the Hilbert Huang Transform. The proposed method is applied to the bone drilling system to detect the moment of bone breakthrough. Theoretical analysis and experiments are conducted to evaluate the effectiveness of the all proposed methods.

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