簡易檢索 / 詳目顯示

研究生: 游翊聖
You, Yi-Sheng
論文名稱: 自主水下載具適應模糊混合H2/H∞導引律之設計
Design of Adaptive Fuzzy Guidance Law for Autonomous Underwater Vehicles : Mixed H2/H∞ Approach
指導教授: 陳永裕
Chen, Yung-Yue
學位類別: 碩士
Master
系所名稱: 工學院 - 系統及船舶機電工程學系
Department of Systems and Naval Mechatronic Engineering
論文出版年: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 92
中文關鍵詞: 水下載具混合H2/H∞控制適應性模糊控制導航點軌跡追蹤設計三維空間六自由度
外文關鍵詞: Autonomous underwater vehicle (AUV), Mixed H2/H∞ control, Adaptive fuzzy control, Waypoint-based trajectory design, 3D space, Six degrees of freedom (6 DOF)
相關次數: 點閱:71下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 於本研究中,水下載具的六自由度的混合式導引律被成功推導出來,此導引律的設計完全無需降低系統為度及進行線性化的設計,此導引律中使用了模糊逼近方法去消除系統不確定的非線性項也透過適應律持續的最佳修正,混合H2/H∞導引律設計可最小化控制過程的能量消耗及最佳化降低系統不確定性與環境干擾的影響。在推導過程中可以利用系統特性與適當的選擇誤差方程去解出在H2最佳化控制或H∞強健控制常見的Riccati形式微分方程,此解可以簡化導引律的結構,最後在精確的感測器下導引律具備簡單及可執行性結構。

    In this study, the adaptive fuzzy mixed H2/H∞ guidance law is successfully derived for autonomous underwater vehicles in 6 DOF without reducing system order and taking linearization. One part of this proposed guidance law adopts the fuzzy approximation method to estimate the perturbed nonlinear term and be continuously turned by a set of adaptive laws. The proposed mixed H2/H∞ guidance law design can minimize the consumed energy of control and attenuate the effect of modeling uncertainties and disturbances optimally. In the derivation process, the nonlinear differential Riccati-like equations, which are frequently encountered in H2 optimal control or H∞ robust control problem, can be solved by using the properties of model and adequately selecting of error dynamics. From simulation results, this proposed guidance law has robustness property with respect to modelling uncertainties and ocean environmental disturbances. Significantly, this proposed design reveals the promising trajectory tracking performance.

    中文摘要 i Abstract ii 誌謝 iii Contents iv List of Tables vii List of Figures viii Nomenclatures xiii Chapter 1 Introduction 1 Chapter 2 Differential Equations for AUV 5 2.1 Dynamics of AUV 5 2.1.1 State Variables and System Matrices 5 2.1.2 Rigid-Body Inertia Matrix 7 2.1.3 Rigid-body Coriolis and Centripetal Matrix 8 2.1.4 Hydrodynamic Forces and Moments 9 2.1.5 Transformation Matrix 11 2.2 Ocean Environmental Disturbances 12 2.3 Equations of AUV Motion in the Earth-fixed Frame 15 Chapter 3 Design of Guidance System of AUV 17 3.1 Trajectory Generator 17 3.2 Adaptive Fuzzy Mixed H2/H∞ Guidance Law Design 22 3.2.1 Tracking Error Dynamic for AUV 22 3.2.2 Adaptive Fuzzy Mixed H2/H∞ Control Law Design 26 3.2.3 Solution of P(e,t) 29 3.3 Summary of The Proposed Guidance Law 31 Chapter 4 Simulation Results 32 4.1 Definition System Parameter for AUV 32 4.2 Definition the Fuzzy Logic System 34 4.3 Verify the Tracking Performance 36 4.4 Guidance Law Performances with Respect to Different Control Parameters 53 4.4.1 Effect of Center of Membership Function to The Guidance Performance 53 4.4.2 Effects of the Parameters λ1 and λ2 with Respect to The Guidance Performance 57 4.4.3 Effect of Different Attenuation Level γ 61 4.5 Simulate with Complex Trajectory 65 Chapter 5 Conclusion 80 Chapter 6 Future Works 81 References 82 Appendix A 86 Appendix B 90 Appendix C 91

    [1] X. Yu, T. Dickey, J. Bellingham, D. Manov, and K. Streitlien, "The Application of Autonomous Underwater Vehicles for Interdisciplinary Measurements in Massachusetts and Cape Cod Bays," Continental Shelf Research, vol. 22, no. 15, pp. 2225-2245, 2002.
    [2] J. E. Manley, "Autonomous Underwater Vehicles for Ocean Exploration," Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492), vol. 1, no. 1, pp. 327-331, 2003.
    [3] S. Ohata, K. Ishii, H. Sakai, T. Tanaka, and T. Ura, "Development of an Autonomous Underwater Vehicle for Observation of Underwater Structures," Proceedings of OCEANS 2005 MTS/IEEE, vol. 3, no. 1, pp. 1928-1933, 2005.
    [4] R. B. Wynn et al., "Autonomous Underwater Vehicles (AUVs): Their Past, Present and Future Contributions to the Advancement of Marine Geoscience," Marine Geology, vol. 352, no. 1, pp. 451-468, 2014.
    [5] A. P. Aguiar and A. M. Pascoal, "Dynamic Positioning and Way-point Tracking of Underactuated AUVs in the Presence of Ocean Currents," International Journal of Control, vol. 80, no. 7, pp. 1092-1108, 2007.
    [6] L. Lapierre, "Robust Diving Control of an AUV," Ocean Engineering, vol. 36, no. 1, pp. 92-104, 2009.
    [7] L. Lapierre and B. Jouvencel, "Robust Nonlinear Path-Following Control of an AUV," IEEE Journal of Oceanic Engineering, vol. 33, no. 2, pp. 89-102, 2008.
    [8] L. Qiao, S. Ruan, G. Zhang, and W. Zhang, "Robust H2 Optimal Depth Control of an Autonomous Underwater Vehicle with Output Disturbances and Time Delay," Ocean Engineering, vol. 165, no. 1, pp. 399-409, 2018.
    [9] J. Zhou, X. Zhao, T. Chen, Z. Yan, and Z. Yang, "Trajectory Tracking Control of an Underactuated AUV Based on Backstepping Sliding Mode With State Prediction," IEEE Access, vol. 7, no. 1, pp. 181983-181993, 2019.
    [10] C. Shen, Y. Shi, and B. Buckham, "Trajectory Tracking Control of an Autonomous Underwater Vehicle Using Lyapunov-Based Model Predictive Control," IEEE Transactions on Industrial Electronics, vol. 65, no. 7, pp. 5796-5805, 2018.
    [11] F. Rezazadegan, K. Shojaei, F. Sheikholeslam, and A. Chatraei, "A Novel Approach to 6-DOF Adaptive Trajectory Tracking Control of an AUV in the Presence of Parameter Uncertainties," Ocean Engineering, vol. 107, no. 1, pp. 246-258, 2015.
    [12] L.J. Zhang, H.M. Jia, and D.P. Jiang, "Sliding Mode Prediction Control for 3D Path Following of An Underactuated AUV," IFAC Proceedings Volumes, vol. 47, no. 3, pp. 8799-8804, 2014.
    [13] J. Wang, C. Wang, Y. Wei, and C. Zhang, "Three-Dimensional Path Following of an Underactuated AUV Based on Neuro-Adaptive Command Filtered Backstepping Control," IEEE Access, vol. 6, no. 1, pp. 74355-74365, 2018.
    [14] L. Moreira and C. G. Soares, "H2 and H∞ Designs for Diving and Course Control of an Autonomous Underwater Vehicle in Presence of Waves," IEEE Journal of Oceanic Engineering, vol. 33, no. 2, pp. 69-88, 2008.
    [15] K. D. Do, J. Pan, and Z. P. Jiang, "Robust and Adaptive Path Following for Underactuated Autonomous Underwater Vehicles," Ocean Engineering, vol. 31, no. 16, pp. 1967-1997, 2004.
    [16] P. P. Khargonekar and M. A. Rotea, "Mixed H2/H∞ Control: a Convex Optimization Approach," IEEE Transactions on Automatic Control, vol. 36, no. 7, pp. 824-837, 1991.
    [17] H. Yeh, S. S. Banda, and B. Chang, "Necessary and Sufficient Conditions for Mixed H2 and H∞ Optimal Control," IEEE Transactions on Automatic Control, vol. 37, no. 3, pp. 355-358, 1992.
    [18] R. D'Andrea, "LMI Approach to Mixed H2 and H∞ Performance Objective Controller Design," IFAC Proceedings Volumes, vol. 29, no. 1, pp. 3198-3203, 1996.
    [19] Y. Fujisaki and T. Yoshida, "A Linear Matrix Inequality Approach to Mixed H2 / H∞ Control," IFAC Proceedings Volumes, vol. 29, no. 1, pp. 1339-1344, 1996/06/01/ 1996.
    [20] C. Bor-Sen, W. Charng-Shi, and J. Ying-Wen, "Adaptive Fuzzy Mixed H2/H∞ Attitude Control of Spacecraft," IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 4, pp. 1343-1359, 2000.
    [21] T. I. Fossen, Handbook of Marine Craft Hydrodynamics and Motion Control. John Wiley & Sons, 2011.
    [22] H. Ying, "Li Xin Wang's Adaptive Fuzzy Systems and Control: Design and Stability Analysis," Journal of Intelligent and Fuzzy Systems, vol. 3, no. 1, pp. 187-188, 1995.
    [23] T. T. J. Prestero, "Verification of a Six-degree of Freedom Simulation Model for the REMUS Autonomous Underwater Vehicle," Massachusetts institute of technology, 2001.

    無法下載圖示 校內:2025-08-31公開
    校外:不公開
    電子論文尚未授權公開,紙本請查館藏目錄
    QR CODE