A Learning-Based Real-Time Controller for Dynamic Manufacturing Cells

學習與即時控制機制應用於動態製造元之研究

Y. L. Sun ； Y. Yih

《工業工程學刊》 21卷3期 (2004/05) Pp. 251-261

https://doi.org/10.29977/JCIIE.200405.0005

摘要

彈性控制（排程系統）的基本要求是欲達到多目標績效且掌握製程中的不確定性，本研究主題是針對學習機制與及時控制機制應用於動態製造元之研究，發展此控制機制是藉由離線模組模擬來產生控制系統中知識庫之訓練資料。在此過程中，績效水準與知識庫輸出結果兩者之差異可以作爲更新與維持知識庫的學習機制。而爲了達到離線的訓練資料與強化學習能力，本研究對每一知識庫發展一CMAC網路控制系統。由模擬方法得到的實驗性結果可知控制性績效可符合多項環境要求，模擬結果顯示在回饋圈中加強學習機制可增進系統績效的改善。

關鍵字

動態排程 ； 學習機制適應性

並列摘要

A flexible controller (scheduling system) is essential if multiple performance objectives are to be met and uncertainty handled during production. In this paper, a learning-based, real-time scheduling system for controlling a manufacturing cell is presented. To develop the controller, an off-line module utilizes simulation to generate training samples to initialize the knowledge bases within the control system. During the operation, the difference between the performance level and the output from knowledge bases will be used to update and maintain the knowledge bases through reinforcement learning. To accomplish both off-line training and reinforcement learning, a CMAC (Cerebellar Model Articulation Controller) network is adopted to develop each knowledge base. The experimental results from simulation show that the controller performs well under multiple criterion environments. The simulation results showed improvement in system performance when reinforcement learning is incorporated in the feedback loop.

並列關鍵字

Dynamic Scheduling ； Learning ； Adaptability

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