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研究生: 王琦盼
CHI-PAN WANG
論文名稱: 某一類非線性系統之控制器設計
Controller Design for a Class of Nonlinear Systems
指導教授: 黃安橋
An-Chyau Huang
口試委員: 姜嘉瑞
Chia-Jui Chiang
李錟鋒
Tan-Feng Lee
學位類別: 碩士
Master
系所名稱: 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年: 2017
畢業學年度: 105
語文別: 中文
論文頁數: 34
中文關鍵詞: 非線性時變系統回授線性化滑動控制適應性控制函數近似法
外文關鍵詞: NonlinearTime Variant Systems, Feedback Linearization, Sliding Control, Adaptive Control, Function Approximation Technique
相關次數: 點閱:246下載:12
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  • 處理控制問題時,實際模型和數學模型之間總有不可避免的差異。經由適當的控制器設計,便可將此差異減小或使其不受差異的影響而能達成控制目標。本論文針對為某一類的單輸入單輸出非線性時變系統提出控制法則,以容忍各種不確定性與干擾之影響。此控制法則融合了傳統的控制方法,其包含回授線性化、滑動控制、適應性控制與函數近似法。另外,此方法改善了傳統回授線性化在處理輸入通道有界不確定性時會產生的奇異點問題。


    When dealing with control problems, there are inevitable discrepancies between the actual system and mathematical models. Through proper controller design, these discrepancies can be reduced or can have less influence, thus the control goal can be achieved. This research proposes a control methodology for a class of single input single output nonlinear time variant systems with various uncertainties and disturbances. This control methodology combines many traditional control strategies, such as feedback linearization, sliding control, adaptive control, and function approximation technique based adaptive control. On the other hand, this methodology alleviates the singularity problem that usually happen when the bounded uncertainties appearing on the input channel.

    摘要 i Abstract ii 誌謝 iii 目錄 iv 圖目錄 v 第一章 緒論 1 第二章 理論回顧 3 2.1滑動控制 3 2.2適應性控制 4 2.3 FAT-Based適應性控制 7 第三章 新控制法則 8 3.1 輸入通道為已知量 8 3.2 輸入通道為知曉變化邊界的有界函數 9 3.3 輸入通道為未知常數 10 第四章 電腦模擬驗證 12 4.1 輸入通道為已知量的模擬 12 4.2 輸入通道為知曉變化邊界的模擬 18 4.3 輸入通道為未知常數的模擬 24 第五章 結論 32 參考文獻 33

    [1] J.-J. E. Slotine and W. Li, Applied Nonlinear Control. Englewood Cliffs, NJ: Prentice̵-Hall, 1991, pp. 207-210.
    [2] J. A. E. Bryson and Y.-C. Ho, Applied Optimal Control: Optimization, Estimation and Control. CRC Press, 1975, p. 246.
    [3] C. Johnson and J. Gibson, "Singular solutions in problems of optimal control," IEEE Transactions on Automatic Control, vol. 8, no. 1, pp. 4-15, 1963.
    [4] J. J. Craig, Introduction to robotics: mechanics and control, 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2005, pp. 151-153.
    [5] Y. Wang, L. Xie, and C. E. de Souza, "Robust control of a class of uncertain nonlinear systems," Systems & Control Letters, vol. 19, no. 2, pp. 139-149, 1992.
    [6] V. Utkin, "Variable structure systems with sliding modes," IEEE Transactions on Automatic Control, vol. 22, no. 2, pp. 212-222, 1977.
    [7] C. Edwards and S. K. Spurgeon, Sliding Mode Control: Theory And Applications. CRC Press, 1998.
    [8] U. Itkis, Control Systems of Variable Structure. NY: Wiley, 1976.
    [9] P. A. Ioannou and J. Sun, Robust Adaptive Control. Upper Saddle River, NJ: Prentice-Hall, 1996.
    [10] N. V. Q. Hung, H. D. Tuan, T. Narikiyo, and P. Apkarian, "Adaptive Control for Nonlinearly Parameterized Uncertainties in Robot Manipulators," IEEE Transactions on Control Systems Technology, vol. 16, no. 3, pp. 458-468, 2008.
    [11] C. Bing, X. P. Liu, S. S. Ge, and L. Chong, "Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach," IEEE Transactions on Fuzzy Systems, vol. 20, no. 6, pp. 1012-1021, 2012.
    [12] A. C. Huang, Y. F. Chen, and C. Y. Kai, Adaptive Control of Underactuated Mechanical Systems. World Scientific, 2015, pp. 26-31, 57-59.
    [13] J. Y. Choi and J. A. Farrell, "Nonlinear Adaptive Control Using Networks of Piecewise Linear Approximators," IEEE Transactions on Neural Networks, vol. 11, no. 2, pp. 390-401, 2000.
    [14] H. E. Psillakis, "Sampled-Data Adaptive NN Tracking Control of Uncertain Nonlinear systems," IEEE Transactions on Neural Networks, vol. 20, no. 2, pp. 336-355, 2009.
    [15] F.-C. Chen and C.-C. Liu,"Adaptively controlling nonlinear continuous-time systems using multilayer neural networks," IEEE Transactions on Automatic Control, vol. 39, no. 6, pp. 1306-1310, 1994.
    [16] R. M. Sanner and J. J. E. Slotine, "Gaussian networks for direct adaptive control," IEEE Transactions on Neural Networks, vol. 3, no. 6, pp. 837-863, 1992.
    [17] J. T. Spooner and K. M. Passino, "Stable adaptive control using fuzzy systems and neural networks," IEEE Transactions on Fuzzy Systems, vol. 4, no. 3, pp. 339-359, 1996.
    [18] S. S. Ge, C. C. Hang, T. H. Lee, and T. Zhang, Stable Adaptive Neural Network Control. Springer, 2002, pp. 47-57.
    [19] L.-X. Wang, Adaptive fuzzy systems and control: design and stability analysis. Upper Saddle River, NJ: Prentice-Hall, 1994.

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