本研究將建構強健性之模糊灰色控制器，以船舶電力推進系統中電動機的速度控制為研究目的。傳統的模糊控制器利用系統的即時回饋及誤差值當作模糊決策之依據，如此控制方式對系統輸出變化之適應性較為遲緩，因此本研究將結合灰色系統和模糊理論建構模糊灰色控制器，應用灰色模型在預測方面的有效性，來預測電動機的速度輸出，作為模糊決策時之第三項參考依據，以增加系統響應速度及準確性。本研究將以小型船舶推進較常採用之直流電動機為研究對象。由電腦模擬與實驗的結果發現，本研究所建構之模糊灰色控制器在速度控制上之結果均優於傳統模糊控制器及PID 控制器。

　　In this study, a robust fuzzy-grey controller, which is used to control themotor’s speed of a ship electric propulsion system, is proposed. A traditionalfuzzy controller makes the fuzzy decision based on its system outputs anderrors. Such control strategy deteriorates the system adaptability. Therefore,grey theory and fuzzy logic control are combined to construct a fuzzy-greycontroller. The grey model, i.e., GM(1,1), applied to predict the motor speed,which are used as the third references for the fuzzy decision in order toaccelerate the system response and accuracy. In this target of study, a DCmotor is applied to the light boat. The simulated and experimental resultsshow that a fuzzy-grey controller outperforms the conventional fuzzycontroller and PID controller for DC motor speed　control.

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