• 作者： Chen, Chun-Yu; Sun, Chang-Chuen
• 中文摘要： 本文乃探討利用線性估算器、卡門濾波器及非線性估算器對填充床反應器在穩定狀態下,利用次要測量變數來估算主要控制變數。由模擬結果得知, 當進料條件改變時, 會使反應器的熱點位置移動, 因而影響線性估算器及卡門濾波器估算結果的正確性。非線性估算器是利用系統的非線性模式為基底進行估算, 不受熱點位置的影響, 故其為較佳的估算器。任意地引入一些成序/模式不合於非線性估算器中做測試, 結果顯示非線性估算法具有強韌性。
• 英文摘要： The problem of steady-state output estimation for packed-bed reactors is addressed. Three different estimators, i.e., Kalman filter, and linear and nonlinear estimators, are presented along the reactor length to estimate the primary, unmeasured output. By simulating and analyzing the reactor sensitivity analysis, it is shown that the location of hot spot will shift when feed conditions change. This effect will influence the accuracy of the estimation results of Kalman filter and linear estimator. Estimators based on nonlinear models of the plant are needed to accurately predict the composition. This is accomplished by a least-square curve fitting to match the observed data with the model. Tests using some deliberately introduced plant/model mismatches indicate that the method is robust.
• 中文關鍵字： 反應器模擬; 狀態估算器; Kalman 濾波器; 推測性控制; 填充床反應器
• 英文關鍵字： Reactor Simulation; State Estimator; Kalman Filter; Inferential Control; Pack-Bed Reactor