頁籤選單縮合
題 名 | pH程序之動態灰模型建立與預測=A Study on Dynamic Prediction of the Grey Model in the pH Control Process |
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作 者 | 陳和賢; 鍾朝欽; | 書刊名 | 國立屏東科技大學學報 |
卷 期 | 10:1 2001.03[民90.03] |
頁 次 | 頁27-34 |
分類號 | 400.24 |
關鍵詞 | 灰色預測; GM(1,1)模型; Gray prediction; pH; GM (1,1) model; |
語 文 | 中文(Chinese) |
中文摘要 | 在食品與生化製程中,pH值通常是一個不可或缺的變數。正確的控制與調整,將可大幅提高製程產品品質與降低生產成本。實際上,生化系統常具有非線性動態行為的特性。若加上時間延遲現象,更會增加系統控制穩定的困難度。灰色預測模型可描述不明確及信息不完全之動態非線性系統,並可對延遲系統作提前預測,具有事先補償系統響應的特點。本研究以灰色建模系統之架構,利用GM(1,1)預測模型應用於pH程序之動態預測上,並比較四筆、五筆、六筆、七筆及四筆two-step-ahead滾動建模之精確性。另一方面,也探討不同取樣時間下之系統響應預測。研究結果顯示,本系統以兩秒取樣的數據作四筆建模,能得到較佳的灰預測模型。 |
英文摘要 | In the manufacturing process of food and biotechnology, pH value is often an indispensable variable. Proper control and adjustment could enhance the manufacturing quality and reduce the production cost. Basically, food and bio-system with time delay have the characteristics of nonlinear dynamic behavior, which makes it difficult to control. Grey prediction model could be used for those dynamic nonlinear systems that specially hold uncertain and incomplete information to compensate the control output by the forecast of system performance. In this study, sliding mode of GM (1,1) model using four points, five points, six points, seven points and four points with two-step-ahead, respectively, had been developed and discussed under different sampling time for acquiring the proper prediction model. The results showed that tour points data of modeling with two seconds of system sampling time could obtain a validated grey prediction model that could be used to describe the pH control process. |
本系統中英文摘要資訊取自各篇刊載內容。