簡易檢索 / 詳目顯示

研究生: 劉仁傑
Jen-Chieh Liu
論文名稱: 運用適應性有限時間控制於Rikitake渾沌同步之模擬及其電路驗證
Simulation and Circuit Verification of Rikitake Chaotic Synchronization with Adaptive Finite-Time Control
指導教授: 楊振雄
Cheng-Hsiung Yang
口試委員: 陳金聖
Chin-Sheng Chen
郭永麟
Yong-Lin Kuo
徐勝均
Sheng-Dong Xu
學位類別: 碩士
Master
系所名稱: 工程學院 - 自動化及控制研究所
Graduate Institute of Automation and Control
論文出版年: 2017
畢業學年度: 105
語文別: 中文
論文頁數: 102
中文關鍵詞: Rikitake系統渾沌系統有限時間控制適應性控制電路模擬MultisimFPGA
外文關鍵詞: Rikitake system, Chaotic system, Finite-time control, Adaptive control, Circuit Simulation, Multisim, FPGA
相關次數: 點閱:405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

  本文乃是在三維Rikitake渾沌系統為基礎的前提下,新增一個獨立方程式,變成一個新四維Rikitake渾沌系統,並利用幾種技術,包含相圖分析、平衡點分析、散度分析、頻譜分析、Lyapunov指數等分析方法,來幫助我們分析此一新系統的特性與運動行為。
  在控制理論部分,我們分別FPGA板與電路模擬Multisim實現利用非線性控制、適應性控制、有限時間控制與適應性有限時間控制等四種控制方法,設計控制器運用於此渾沌系統,使主系統和從系統可以同步。最後,我們使用FPGA板實現整個實際電路,藉此前面的模擬結果做比對。


  The new 4D autonomous chaotic system is presented in this thesis based on 3D Rikitake system to add a new function for becoming a new Rikitake system. And then we use several techniques that include phase portraits analysis, equilibrium point analysis, divergence computing analysis, power spectrum analysis and Lyapunov exponent ,etc. to help us analyzing the characters and the dynamical behaviors of the new chaotic system.
  In control theory, we utilize nonlinear control, adaptive control, finite-time control and adaptive finite-time control to make a slave system be synchronized with the new Rikitake chaotic system. Finally, we respectively make a simulation of the real electronic circuit and chaos synchronization of numerical analysis by NI electronic circuit software Multisim and FPGA DE2-115 Board to realize the real circuit with FPGA board and then compare the consults with simulations we got in the above chapters.

摘要 Abstract 誌謝 List of Figures VIII Chapter 1 Introduction 1.1 Motivation 1.2 Objectives 1.3 Thesis structure Chapter 2 Nonlinear Dynamics Analysis of the New 4D Rikitake Chaos System 2.1 Phase portraits analysis 2.2 Equilibrium analysis 2.3 Divergence analysis 2.4 Power spectrum analysis 2.5 Lyapunov exponent 2.6 Design and realization of electronic circuit Chapter 3 The Chaotic Synchronization of New Rikitake Chaotic System by Adaptive Finite-time Control 3.1 The chaotic synchronization of the new Rikitake chaotic system by nonlinear control 3.1.1 The chaotic synchronization scheme by nonlinear control 3.1.2 Simulation results of the chaotic synchronization by nonlinear control 3.2 The chaotic synchronization of the new Rikitake chaotic system by adaptive control 3.2.1 The chaotic synchronization scheme by adaptive control 3.2.2 Simulation results of the chaotic synchronization by adaptive control 3.3 The chaotic synchronization of the new Rikitake chaotic system by finite-time control 3.3.1 The chaotic synchronization scheme by finite-time control 3.3.2 Simulation results of the chaotic synchronization by finite-time control 3.4 The chaotic synchronization of the new Rikitake chaotic system by adaptive finite-time control 3.3.1 The chaotic synchronization scheme by adaptive finite-time control 3.3.2 Simulation results of the generalized chaos synchronization by adaptive finite-time control Chapter 4 The Chaotic Synchronization of New Rikitake Chaotic System for Electric Circuit Simulation 4.1 The chaotic synchronization of the new Rikitake chaotic system by nonlinear control for Electric circuit simulation 4.2 The chaotic synchronization of the new Rikitake chaotic system by adaptive control for Electric circuit simulation 4.3 The chaotic synchronization of the new Rikitake chaotic system by finite-time control for Electric circuit simulation 4.4 The chaotic synchronization of the new Rikitake chaotic system by adaptive finite-time control for Electric circuit simulation Chapter 5 Hardware Implementation of New 4D Rikitake Chaotic System Synchronization by Using FPGA 5.1 Introduction to FPGA 5.1.1 Discretization of continuous new 4D Rikitake chaotic system based on the Euler’s method 5.2 Synchronization of the new 4D Rikitake chaotic system by using the nonlinear control on FPGA 5.2.1 Design and simulation of nonlinear controllers for the synchronization of new 4D Rikitake system 5.2.2 FPGA implementation of nonlinear synchronization for new 4D Rikitake chaotic system 5.3 Synchronization of the new 4D Rikitake chaotic system by using the adaptive control on FPGA 5.3.1 Design and simulation of adaptive controllers for the synchronization of new 4D Rikitake system 5.3.2 FPGA implementation of sliding mode synchronization for new 4D Rikitake chaotic system 5.4 Synchronization of the new 4D Rikitake chaotic system by using the finite-time control on FPGA 5.4.1 Design and simulation of finite time controllers for the synchronization of new 4D Rikitake system 5.4.2 FPGA implementation of finite-time synchronization for new 4D Rikitake chaotic system 5.5 Synchronization of the new 4D Rikitake chaotic system by using the adaptive finite-time control on FPGA 5.5.1 Design and simulation of adaptive finite-time controllers for the synchronization of new 4D Rikitake system 5.5.2 FPGA implementation of adaptive finite-time synchronization for new 4D Rikitake chaotic system Chapter 6 Conclusion References

[1] L. T. Carroll and L. M. Pecora, “Synchronizing chaotic circuits,” IEEE transactions on circuits and systems, vol. 38, no. 4, pp. 453-456, Apr 1991.
[2] K. M. Cuomo and A. V. Oppenheim, “Synchronization of Lorenz-Based Chaotic Circuits with Applications to Communications,” IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 40, no. 10, pp. 626-633, Oct 1993.
[3] T. Yang and L. Chua, “Impulsive stabilization for control and synchronization of chaotic systems: Theory and application to secure communication,” IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 44, no. 10, pp. 976-988, 1997.
[4] S. Chen and J. Lu, “Synchronization of an uncertain unified chaotic system via adaptive control,” Chaos, Solitons and Fractals, , vol. 14, no. 4, pp. 643-647, Sep 2002.
[5] J. A. T. Machado, “Analysis and design of fractional-order digital control systems,” Taylor and Francis Ltd, vol. 27, no. 2-3, pp. 107-122, 1997.
[6] X. Wu and H. Wang, “A new chaotic system with fractional order and its projective synchronization,” Springer Netherlands, vol. 61, no. 3, pp. 407-417 Aug. 2010.
[7] X. J. Wu, J. S. Lin and G. Chen, “Chaos synchronization of Rikitake chaotic attractor using the passive control technique,” American Journal of Physics, vol. 53, no. 1-2, pp. 45-53, July. 2008.
[8] R. A. Tudoran, “On asymptotically stabilizing the Rikitake two-disk dynamo dynamics,” Elsevier BV, vol. 12, no. 5, pp 2505-2510. Oct. 2011.
[9] Y. He, M. Wu, G. Liu and J. She, “Output feedback stabilization for a discrete-time system with a time-varying delay,” IEEE Transactions on Automatic Control, vol. 53, no. 10, 2008.
[10] L. B. Freidovich and H. K. Khalil, “Performance recovery of feedback-linearization-based designs,” IEEE Transactions on Automatic Control, vol. 53, no. 10, pp. 2324-2334, 2008.
[11] K. S. Narendra and J. Balakrishnan, “Adaptive control using multiple models,” IEEE Transactions on Automatic Control, vol. 42, no 2, pp. 171-187, 1997.
[12] Y. E. Xudong and J. Jingping, “Adaptive nonlinear design without a priori knowledge of control directions,” IEEE Transactions on Automatic Control, vol. 43, no. 11, pp. 1617-1621, 1998.
[13] H. Zhang and F. L. T. Lewis, “Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics,” Elsevier Limited, vol. 48, no. 7, July 2012.
[14] H. Li and S. Tong, “A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems,” IEEE Transactions on Fuzzy Systems, vol. 11, no. 1, pp. 24-34, Feb. 2003.
[15] Z. Wu and M. Mizumoto, “PID type fuzzy controller and parameters adaptive method,” Elsevier, vol. 78, no. 1, pp. 23-35, 1996.
[16] C. Su, S. Rakheja, X. Chen and Q. Wang, “Adaptive variable structure control of a class of nonlinear systems with unknown Prandtl-Ishlinskii hysteresis”, IEEE Transactions on Automatic Control, vol. 50, no. 12, pp. 2069-2074, Dec. 2005.
[17] F. Chen, “Adaptive Control of a Class of Nonlinear Discrete-Time Systems Using Neural Networks,” IEEE Transactions on Automatic Control, vol. 40, no. 52, pp. 791-801, May. 1995.
[18] G. Tao, S. M. Joshi and X. Ma, “Adaptive state feedback and tracking control of systems with actuator failures,” IEEE Transactions on Automatic Control, vol. 46, no. 1, pp. 78-95, Jan. 2001.
[19] Z. P. Jiang and L. Praly, “Design of robust adaptive controllers for nonlinear systems with dynamic uncertainties,” Elsevier Limited, vol. 34, no. 7, pp. 825-840, July 1998.
[20] A. G. Alleyne, “Nonlinear Adaptive Control of Active Suspensions,” IEEE Transactions on Control Systems Technology, vol. 3, no. 1, pp. 94-101,March 1995.
[21] H. Wang, Z. Z. Han, Q. Y. Xie and W. Zhang ”Finite-time chaos control via nonsinglur terminal sliding mode control,” Commun Nonlinear Sci Numer Simulat, vol. 14, pp. 2728-2733, June 2009.
[22] H. Wang, Z. Z. Han, Q. Y. Xie and W. Zhang ”Finite-time chaos synchronization of unified chaotic system with uncertain parameters,” Commun Nonlinear Sci Numer Simulat, vol. 14, pp. 2739-2747, June 2009.
[23] M. P. Aghababa and S. Khanmohammadi and Z. Alizadeh ”Finite-time synchronization of two difference chaotic systems with unknown parameters via sliding mode technique,” Commun Nonlinear Sci Numer Simulat, vol. 35, pp. 3080-3091, June 2011.
[24] F. Amato, M. Ariola and P. Dorato, “Finite-time control of linear systems subject to parametric uncertainties and disturbances,” Elsevier Limited, vol. 37, no. 9, pp. 1459-1463, Sep. 2001.
[25] Y. Hong, J. Huang and Y. Xu, “On an output feedback finite-time stabilization problem,” IEEE Transactions on Automatic Control, vol. 46, no. 2, pp. 305-309, Feb 2001.
[26] L. Wang and F. Xiao, “Finite-time consensus problems for networks of dynamic agents,” IEEE Transactions on Automatic Control, vol. 55, no. 4, pp. 950-955, Apr. 2010.
[27] T. A. Henzinger, P. Ho and H. Wong-Toi, “Algorithmic analysis of nonlinear hybrid systems,” IEEE Transactions on Automatic Control, vol. 43, no. 4, pp. 540-554 ,1998.
[28] F. Van Den Bergh and A. P. Engelbrecht, ” A study of particle swarm optimization particle trajectories,” Information Sciences, vol. 176, no. 8, pp. 937-971, Apr. 2006.
[29] J. Liu, “Divergence Measures Based on the Shannon Entropy,” IEEE Transactions on Information Theory, vol. 37, no. 1, pp. 145-151, Jan 1991.
[30] S. Cavalcanti and E. Belardinelli, “Modeling of cardiovascular variability using a differential delay equation,” The Lorenz Equations: Bifurcations, Chaos, and Strange Attractors. Springer, vol. 43, no. 10, pp. 982-989, Oct. 1996.
[31] G. A. Gottwald and I. Melbourne, “A new test for chaos in deterministic systems,” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 460, no. 20420, pp. 603-611, Feb. 2004.
[32] V. T. Pham, Volos C. K. and S. Vaidyanathan, “Multi-scroll chaotic oscillator based on a first-order delay differential equation,” Studies in Computational Intelligence, vol. 581, pp. 59-72, 2015.
[33] X. Guowei, W. Zhenkai and L. Chunqing, “Dynamics analysis and synchronization of T chaotic system with its circuit simulation,” Wuli Xuebao/Acta Physica Sinica, vol. 62, no. 2, Jan. 2013.
[34] K. Gopakumar, B. Premlet and K. G. Gopchandran, “Implementation of Chua's circuit using simulated inductance,” International Journal of Electronics, vol. 98, no. 5, pp.667-677, May 2011.
[35] J. Zhu and C. Yu, “Seven dimension chaotic system and its circuit implementation,” Advanced Materials Research, vol. 588-589, pp. 1251-1254, 2012.
[36] T. Addabbo, M. Alioto, A. Fort, S. Rocchi, and V. Vignoli, “A feedback strategy to improve the entropy of a chaos-based random bit generator,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 53, no. 2, pp. 326–337, 2006.
[37] C. F. Hsu and B. K. Lee, “FPGA-based adaptive PID control of a DC motor driver via sliding-mode approach,” Expert Systems with Applications, vol. 38, no. 9, pp. 11866-11872, Sep. 2011 .
[38] I. Koyuncu, A. T. Ozcerit and I. Pehlivan, “Implementation of FPGA-based real time novel chaotic oscillator,” Nonlinear Dynamics, vol. 77, no. 1-2, pp. 49-59, July 2014.
[39] A. Cardenas, C. Guzman and K. Agbossou, “Development of a FPGA based real-time power analysis and control for distributed generation interface,” IEEE Transactions on Power Systems, vol. 27, no. 3, pp. 1343-1353, 2012.
[40] E. Tlelo-Cuautle, V. H. Carbajal-Gomez, P. J. Obeso-Rodelo, J. J. Rangel-Magdaleno and J. C. Núñez-Pérez, “FPGA realization of a chaotic communication system applied to image processing,” Nonlinear Dynamics, vol. 82, no. 4, pp. 1879-1892, Dec 2015.
[41] K. D. Rao and C. Gangadhar, “Discrete wavelet transform and modified chaotic key-based algorithm for image encryption and its VLSI realization,” IETE Journal of Research, vol. 58, no. 2, pp. 114-120, March 2012.
[42] K. D. Rao and C. Gangadhar, “Modified chaotic key-based algorithm for image encryption and ITS VLSI realization,” International Conference onDigital Signal Processing, 2007.
[43] I. Koyuncu, A. T. Ozcerit and I. Pehlivan, “Implementation of FPGA-based real time novel chaotic oscillator,” Nonlinear Dynamics, vol. 77, no. 1-2, pp. 49-59, July 2014.

無法下載圖示 全文公開日期 2022/08/22 (校內網路)
全文公開日期 本全文未授權公開 (校外網路)
全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
QR CODE