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頁籤選單縮合
題 名 | Tuning PID Controllers for Processes with Inverse Response Using Artificial Neural Networks=反向應答程序之PID控制器調諧 |
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作 者 | 黃琦聰; 林孟言; 黃銘傑; | 書刊名 | Journal of the Chinese Institute of Chemical Engineers |
卷 期 | 30:3 1999.06[民88.06] |
頁 次 | 頁223-232 |
分類號 | 460.02 |
關鍵詞 | 反向應答程序; PID控制器; 調諧; PID controller tuning; Processes with inverse response; Nonminimum phase model; Artificial neural networks; |
語 文 | 英文(English) |
中文摘要 | 在一般的化工程序上,反向應答程序可算是較特殊的程序,常發生在如蒸餾塔、氣體吸收塔及鍋爐等化工廠中重要的設備上。本研究乃針對一般常用之反向應答程序模式,先將程序模式及控器無因次化,然後再對無因次化之程序模式作閉環路回饋控制系統之模擬,並基於最小IAE之目標函數,利用Powell (1964) 搜索法則來獲得最適之控制器調諧參數值。最後再利用類神經網路來做最適調諧關係之數據迴歸。經由這些最適調諧關係之類神經網路,便可由簡單之電腦計算而得到PID控制器之調諧。由電腦模擬之結果證明本研究之調諧方法是令人滿意的。 |
英文摘要 | A calculation method of PID controller setting for an inverse response process with time delay was presented in this study. A practical PID control algorithm with anti-reset windup was considered. Optimum controller tuning data based on a nonminimum phase model and the minimum IAE criterion were obtained via the Powell (1964) searching technique, and these data were then empirically fitted by artificial neural networks. Thus, controller tunings based on the process model could be expediently sought from these neural networks. Simulation results indicated that the proposed tuning technique can perform better than other available methods. |
本系統中英文摘要資訊取自各篇刊載內容。