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研究生:林益新
研究生(外文):Yi-Shin Lin
論文名稱:輸入、輸出與附加狀態於輸出注入型觀測器的角色
論文名稱(外文):The roles of input, output and appended states in output-injection observers
指導教授:張玨庭張玨庭引用關係
指導教授(外文):Chuei-Tin Chang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:化學工程學系
學門:工程學門
學類:化學工程學類
論文種類:學術論文
論文出版年:1999
畢業學年度:87
語文別:中文
論文頁數:110
中文關鍵詞:觀測器
外文關鍵詞:observer
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在程序控制與失誤診斷的應用中,我們常使用觀測器(observer)或狀態估測器(state estimator)來解決無法線上即時測量重要狀態變數與非穩定系統干擾的困擾,但龐大的計算需求將造成實際應用的阻礙。本研究依據對於觀測器中輸入、輸出與附加狀態角色的探討,發展出了兩種依據系統結構切割觀測器的系統化技術,以提升線上計算的時效。具體而言,本論文中主要論點為可將測量訊號策略性的依開迴路觀測器模式結構分類,而達成架構子觀測器的目的,以及可藉由適當選用附加狀態的方式,減少線上估計計算需求,而在本文中提出方法的可靠性,皆經由數值模擬方法驗證無誤。

In process control and fault monitoring applications, observers or state estimators are usually used in overcoming the problem that some key state variables and non-stationary process disturbances cannot be measured at frequent enough time intervals. However, due to the required heavy computation load, it is often difficult to implement these observers on-line.
For this propose of enhancing computation efficiency, we have offered two systematic techniques to decompose any observer on the basis of system structure according to the roles of inputs, outputs and appended states in output-injection observers. Specifically, it is claimed that we can construct simpler sub-observers by strategically selecting various different combinations of measurements as inputs and outputs according to the model structure of an open-loop observer, and can reduced the on-line computation demand by properly choosing appended states in observer. Finally, it should be emphasized that reliability of the proposed approach has been confirmed in numerous simulation studies without exceptions.

表目錄. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . I
圖目錄. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . II
符號說明. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . VII
第一章:序論. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1
第二章:輸出注入型觀測器的估計誤差. . . . . . . . . . . . . . . . . . . . . .3
2.1 輸出注入型觀測器的基本架構. . . . . . . . . . . . . . . . . . . . . . . . . . .3
2.2 不隨機系統觀測器估計誤差. . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
2.3 卡門濾波器的估計誤差. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7
2.4 擴展型卡門濾波器的估計誤差. . . . . . . . . . . . . . . . . . . . . . . . . . .9
第三章:輸出注入型觀測器的分割策略. . . . . . . . . . . . . . . . . . . . .11
3.1 輸入與輸出相互影響的效應. . . . . . . . . . . . . . . . . . . . . . . . . . . .11
3.2 測量訊號的分類. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15
3.3 零散系統的分割. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .18
3.4 子觀測器之鑑識. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .21
3.5 圖形輔助工具. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .23
3.6 附加狀態的選擇. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .31
3.7 隨機系統. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .34
第四章:應用實例. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .52
第五章:結論與展望. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .64
5.1 結論. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .64
5.2 展望. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .64
參考文獻. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .66
附錄A 可控制性、可觀測性、可穩定性、可偵測性. . . . . . . . . . . 69
附錄B 第三章隨機系統估測結果. . . . . . . . . . . . . . . . . . . . . . . . . . . 79
附錄C 第四章應用實例估測結果. . . . . . . . . . . . . . . . . . . . . . . . . . . 94

Chang, C. T., and Chen, J. W., "Implementation issues Concerning the EKF-Based Fault Diagnosis Techniques," Chem. Eng. Sci., 50 (18), 2861 (1995).
Chang, C. T., Mah, K. N., and Tsai, C. S., "A Simple Design Strategy for Fault Monitoring System," AIChE J., 39 (7), 1146 (1993).
Chang, C. T., K. N. Mah and C. S. Tsai, "A Simple Design Strategy for Fault Monitoring System," AICHE Journal 39, 1146 (1993).
Chen, C. T., Linear System Theory and Design, Rinehart and Winston, New York (1984).
Churchill, S. W., "Friction-factor equation spans all fluid-flow regimes," Chem. Eng., 84 (24), 91 (1977).
Dalle Molle, D. T., D. M. Himmelblau, "Fault Detection in a Single-Stage Evaporator via Parameter Estimation using the Kalman Filter," Ind. Eng. Chem. Res., 84 (24), 2482 (1987).
Elicabe, G. E. and C. Georgakis, "The Effects of Controllers in State estimation Schemed," Preprints of DYCOPS-5, p.608, Corfu, Greece, June 8-10, (1998).
Gelb, A. ed., Applied optimal estimation, MIT Press, Cambridge, MA (1974).
Grewal, M. S., and A. P. Andrews, Kalman Filtering-Theory and Practice, Englewood Cliffs, New Jersey (1993).
Hamilton, J. C., D. E. Seborg, and D. G. Fisher, "An Experimental Evaluation of Kalman Filter," AIChE J., 19 (5), 901 (1973)
Himmelblau, D. M., and K. B. Bischoff, Process Analysis and Simulation Deterministic Systems, John Wiley & Sons, New York, 308 (1968).
K.Ogata, State Space Analysis of Control Systems, Prentice Hall, Engle-wood Cliffs, New Jersey (1967).
Kailath. T., Linear Systems, Prentice Hall, Englewood Cliffs, New Jersey (1980).
Kalman, R. E., "Contributions to the Theory of Optimal Control," Bol. Soc. Mat. Mexicana, vol. 5, pp. 102-119 (1960).
Kalman, R. E., "A New Approach to Linear Filtering and Prediction Problem," Trans. ASME J. Basic Eng., vol. 82, pp.34-35 (1960).
Kalman, R. E., "When Is a Linear Control System Optimal?," J. Basic Eng. Trans., ASME, Series D, vol. 86, pp.51-60 (1964).
Kalman, R. E., and R. S. Bucy, "New Results in Linear Filtering and Prediction Theory," Trans. ASME J. Basic Eng., vol. 83, pp.95-108 (1961).
Kau. B. C., Automatic Control Systems, Prentice Hall, Englewood Cliffs, New Jersey (1975).
Keller, J. Y. and M. Darouach, "Reduced-Order Kalman Filter with Unknow Inputs," Aotomatica 34, 11, 1469 (1998).
Lewis, F. L., Applied Optimal Control and Estimation: Digital Design and Implementation, Prentice Hall, Englewood Cliffs, New Jersey (1992).
Lewis, F. L., Optimal Estimation,. John Wiley & Sons, New York, (1986).
Watanabe, K., and D. M. Himmelblau, "Fault Diagnosis in Nonlimear Chemical Processes-Part I. Theory," AIChE J., 292, 243 (1983a).
Watanabe, K., and D. M. Himmelblau, "Fault Diagnosis in Nonlinear Chemical Processes-Part II. Application to a Chemical Reactor," AIChEJ., 292, 250 (1983b).
Watanabe, K., and D. M. Himmelblau, "Incipient Fault Diagnosis of Nonlinear With Multiple Causes of Faults," Chem. Eng. Sci., 393, 491 (1984).

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