黃孝平2006-07-252018-06-282006-07-252018-06-282004-05-31http://ntur.lib.ntu.edu.tw//handle/246246/9377在本計畫之上一期研究中，針對不同之控制目標，探討了單環路控制系統之性能評估方式。 而性能評估必須以程序之低階模式為基礎，因此本期計畫之重點在於程序模式之識別，尤 其是程序之等效時延部分。此識別方法利用繼電器回饋測試得到的資料，並配合上類神經 網路，可以準確的估計出程序二階模式之等效時延，進而判別此程序應該用FOPDT 或 SOPDT 模式來表示，然後計算出對應模式之參數。此模式可以用於系統之性能評估與線上 監控，此外，更可應用於控制器之調諧，成為一個自動調諧系統並且有效地改善控制系統 之性能。The previous project has investigated the performance assessment of single-loop control systems. Such assessment is based on the low-order models of the processes. Therefore, this project mainly deals with the identification of the process, especially for the apparent deadtime. The identification method uses the relay feedback test and artificial neural network (ANN) to estimate the apparent deadtime first. Then, the processes are classified to be represented as FOPDT or SOPDT models, and the model parameters are estimated accordingly. The identified models can be used not only for performance assessment but also for controller tuning. It becomes an auto-tuning system and can improve control performance effectively.application/pdf144992 bytesapplication/pdfzh-TW國立臺灣大學化學工程學系暨研究所控制性能評估繼電器回饋測試等效時延人工類神經網路自動調諧control performance assessmentrelay feedback testapparent deadtimeartificial neural networkauto-tuningreporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/9377/1/922214E002013.pdf