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研究生:黃國偉
論文名稱:線性系統穩定化數位PID控制器之研究
論文名稱(外文):On Computing Stabilizing Digital PID Controllers
指導教授:黃奇黃奇引用關係
指導教授(外文):Chiy Hwang
學位類別:碩士
校院名稱:國立中正大學
系所名稱:化學工程研究所
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:2002
畢業學年度:90
語文別:中文
論文頁數:35
中文關鍵詞:數位PID控制器線性系統
外文關鍵詞:Digital PID Controllerslinear systems
相關次數:
  • 被引用被引用:1
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  • 下載下載:87
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儘管PID控制演算法是一門老舊的學問,但它仍廣泛的使用在多變的控制系統中。PID控制能長久被使用是在於它PID演算法本身的原理是易懂的且其控制行為在各種程序上都是令人滿意的。此外,能簡單的實行也是為何PID控制器在工業程序能長久最受大眾化應用的理由之一。數位計算器和/或微處理器。PID控制演算的執行和調節變得可調性。
本論文中吾人考慮的問題在定義PID控制器增益的集合是其能夠使n階的離散時間系統穩定化。分析並推導在控制器增益空間中穩定區域邊界的特徵式。此一方法的基本構想是來自已參數化法計算離散系統的均方差(mean-squired-error)。此步驟比Xu等學者簡化利用了Hermite-Biehler theorem 的連續時間的觀點時間來做雙線性轉換。並且為了得證此一步驟並舉一數值範例說明之。
Although the PID control algorithm is old, it is still widely used in a variety of industrial control systems. The longstanding use of PID controllers lies in the facts that the principle of PID algorithm is easy to understand and the control performance is satisfactory for a wide class of processes. Moreover, simplicity of implementation is also one of the reasons why PID controller remains the most popular approach for industrial process control despite continual advances in control theory. This is particularly true after the advent of digital computers and/or microprocessors. With the availability of low-cost programmable microprocessors, the implementation and tuning of PID control algorithm becomes advantageously flexible.
This paper is concerned with the problem of determining the set of PID controller gains that can stabilize a given nth-order discrete-time plant. An analytic characterization of the stability-domain boundary in the controller gain space is derived. The idea for this stability-domain boundary characterization is taken from the field of parametric evaluation of mean-squared-errors for discrete-time systems. The proposed approach is simpler than that recently proposed by Xu et al., which utilizes a
continuous-time version of Hermite-Biehler theorem along with the bilinear transformation. To illustrate the proposed approach, a numerical example is provided.
目 錄
中文摘要........................................................... Ⅰ
英文摘要...........................................................Ⅱ
圖表目錄...........................................................Ⅲ
第一章 緒論........................................................1
1.1 研究動機................................................... 1
1.2 文獻探討................................................... 2
1.3 章節與組織.................................................3
第二章 線性系統穩定區域之判斷......................................4
2.1 介紹.......................................................4
2.2 計算複變積分的展開式.......................................4
2.3 數位PID控制器穩定化的特徵.................................8
第三章 解析表示式.................................................15
3.1 積化合差展開式............................................15
第四章 範例.......................................................19
4.1 範例......................................................19
4.2 結論......................................................21
第五章 總結與未來的展望...........................................24
5.1 總結......................................................24
5.2 未來的展望................................................24
參考文獻...........................................................26
附錄A.............................................................28
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2.Popez, A. M., Murrill, P. W., and Smith, C. L., 1969, “Tuning PI and PID digital controllers,” Instrument & Control System. vol. 42, no. 2, pp. 89-95.
3.Roberts, P. D., 1976, “Simple tuning of discrete PI and PID controllers,” Measurement and Control, vol. 9, no. 6, pp. 227-234.
4.Bortolotto, G., Desages, A., and Romagnoli, J., 1991, “Optimal tuning of discrete PID controllers using Lyapunov''s direct method robustness analysis,” Chemical Engineering Communications, vol. 109, pp.1-18.
5.Huang, H. P., and Chao, Y. C., 1982, “Optimal tuning of a practical digital PID controller,” Chem. Eng. Commun., vol. 18, pp. 51-61.
6.Imaeda, M., Hashimoto, K., and Ma, S. C., 1987, “Optimal Tuning of digital PID controller based on the integration of absolute Error,” KAGAKU KOGAKU RONBUNSHU, vol. 13, no. 3, pp. 370-372.
7.Boyevoda, A. A., 1992, “Synthesizing discrete PID-controllers by the motion partition method,” Journal of Automation and Information Sciences, vol. 25, no. 4, pp. 63-67.
8.Vu, K. M., 1992, “Optimal setting for discrete PID controllers,” IEE Proc., Part D: Control Theory and Applications, vol. 139, no. 1, pp. 31-40, Jan.
9.Sebakhy, O. A., and Murad, H. A., 1992, “Design of restricted complexity digital regulators using explicit criterion minimization,” IEE Proc., Part D: Control Theory and Applications, vol. 139, no. 3, pp. 251-258, May.
10.Keel, L. H., and Bhattacharyya, S. P., 2000, “On stabilizing gains for digital control systems,” Proceed-ings of IEEE International Conference on Industrial Technology, vol. 2, pp. 196-201.
11.Keel, L. H.; Bhattacharyya, S.P.; 2001, “Analytic determination of stabilizing gains for digital control systems,” Proceedings of the 2001 American Control Conference, vol. 3, pp. 2038-2043.
12.Ho, M.-T., Datta, A., and Bhattacharyya, S.P., 1997, “Feedback stabilization of discrete-time systems via the generalized Hermite-Biehler theorem,” Proceedings of the 36th IEEE Conference on Decision and Control, vol. 1, pp. 908-914.
13.Xu, H., Datta, A., and Bhattacharyya, S. P., 2001, “Computation of all stabilizing PID gains for digital control systems,” IEEE Transactions on Automatic Control, vol. 46, no. 4, pp. 647-651.
14.Jury, E. I., 1964, Theory and Application of the z-Transform Method, New York: John Wiley.
15.Fisher, S. D., 1999, Complex Variables, Dover Publications, Inc., Mineola, NY.
16.Åström, K. J., 1970, Introduction to Stochastic Control Theory, New York-London: Academic Press
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