• 作者： Chen, Ching-Der; Jang, Shi-Shang; Tsen, Andy Yen-Di
• 中文摘要： 高分子聚合物組成分布(CCD)在製造分子聚合物產品的品質來說是非常重要的。論文裡我們應用了雙ANN結構在線上一次控制的MA-Vac半連續乳化聚合系統。控制策略的第一步是假設這個系統是操作在半飢餓的狀態下。MA的進料速率在單一批中只能調整一次。以中間產物的測量為基礎,混ANN模式,同時結合了實驗的資料和理論上的模式,用來預測每一批結束後產品的品質。然而,也因為測量誤差的緣故,應用雙ANN的結構結果要比應用單一ANN來的好,關鍵的參數以第一個ANN來決定,然後把這個參數當做第二個ANN的輸入,這就是混合模式。在實驗及模擬中證明了,雙ANN的結構要比單一ANN來的優越。此外,實驗的結果也證明了ANN模式預測控制應用在半連續乳化系統CCD控制裡是大有可為的。
• 英文摘要： Copolymer composition distribution (CCD) is essential for product quality in copolymer manufacturing. In this work, we implement a double ANN structure for the on-line one shot control of MA-VAc semi- continuous latex copolymerization system. The control strategy is firstly assuming that the system is operating in a semi-starved condition. The feeding rate of MA can only be adjusted once in a single batch. Based on an intermediate measurement, a hybrid ANN model, that combines the information provided by the experimental data and theoretical model simultaneously, is implemented to predict the product quality at the end of the batch. However, it also has been found that because of the effects of measuring error, implementing a double ANN structure is better than implementing a single ANN. A critical parameter is identified by the first ANN. The parameter, in turn, is used as an input of the second ANN, that is a hybrid model. Both the experimental and simulation studies show that the proposed double ANN is superior to a single ANN structure. Besides, the experimental studies also show that the ANN model predictive control is promising for the CCD control of a semi- continuous latex system.
• 中文關鍵字： 共聚合物組成分布; 半連續式; 雙重ANN模式; 共聚物; 控制
• 英文關鍵字： Copolymer Composition Distribution; Semi-Continuous; Double Ann Model; Copolymer; Control