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姓名 蔡俊賢(Chun-Hsien Tsai )  查詢紙本館藏   畢業系所 電機工程研究所
論文名稱 類神經滑動模式控制及其在倒三角體系統之應用
(Neuro-Sliding Mode Control with Its Applications to Seesaw Systems)
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摘要(中) 本論文將探討傳統滑動模式控制跟類神經網路的相互結合,並實際應用在一個倒三角體的非線性不穩定系統上。在傳統的滑動模式控制必須了解系統的動態方程式及其參數,才可針對所需要求做設計,但實際上系統的動態方程式及參數並不是很容易求得的。因此我們便設計了兩個平行處理的神經網路,其輸出分別去取代滑動控制的等量控制及誤差控制,並利用了最陡梯度法去調整神經網路的權重值。最後可發現在傳統滑動模式控制中最容易產生的抖動現象及誤差皆可以消除,並且保有滑動模式控制所擁有延著滑動平面趨向平衡點的特性。
摘要(英) In this paper, we will propose a cooperative control approach that is based on combination of Neural Networks and Sliding Mode Control (SMC) methodology. The main purpose is to eliminate the chattering phenomenon. Furthermore, the system performance obtained via the method of SMC can be improved. In the present approach, two parallel Neural Networks are utilized to realize a Neuro-Sliding Mode Control (NSMC). The equivalent control and the corrective control in terms of Sliding Mode Control are the outputs of the Neural Networks. The weights adaptations of Neural Network are determined based on the Sliding Mode Control equations. Then, the gradient descent method is used to minimize the control force so that chattering phenomenon can be eliminated.
關鍵字(中) ★ 倒三角體
★  模動模式
★  類神經
關鍵字(英) ★ Neural
★  Seesaw
★  Sliding
論文目次 CHAPTER 1 INTRODUCTION
1-1Background......................................1
1-2Motivation and Purpose..........................2
1-3Organization....................................2
CHAPTER 2 SLIDING MODE CONTROL AND NEURAL NETWORK THEORY
2-1 Background..........................................3
2-2 The Basic Description of Sliding Mode Control.......3
2-3 Sliding Mode Controller Design......................4
2-4 The Basic Description of Neural Network.............8
CHAPTER 3 PROBLEM DESCRIPTION AND PROPOSE METHOD
3-1 Problem Description................................10
3-2 The Structure of Neuro-Sliding Mode Controller.....11
3-3 Computation of The Equivalent Control..............12
3-4 Computation of The Corrective Control..............15
CHAPTER 4 EXPERIMENTAL RESULTS AND DISCUSSION
4-1 System Model.......................................19
4-2 The Application Algorithm..........................21
4-3 The Result for Computer Simulation.................25
4-4 The Basic Description of the Software..............30
4-5 The Seesaw Mechanism...............................32
4-6 Results and Discussion.............................37
CHAPTER 5 CONCLUSION AND RECOMMENDATIONS................45
REFERENCES..............................................47
APPENDIX A…………………………………………………………49
參考文獻 [1] J. Y. Hung, W. Gao, J. C. Hung, “Variable Structure Control : A Survey”, IEEE Transactions on Industrial Electronics, vol. 40, no. 1, pp. 2-22, February 1993.
[2] W. Gao, Y. Wang, A. Homaifa, “Discrete-Time Variable Structure Control Systems”, IEEE Transactions on Industrial Electronics, vol. 42, no. 2, pp. 117-122, April 1995.
[3] D. Q. Zhang, S. K. Panda “Chattering-free and Fast-response Sliding Mode Controller”, IEE Proc.-Control Theory Appl., vol. 146, no. 2, pp. 171-177. March 1999.
[4] S. Hui, S. H. ?ak, “On discrete-time Variable Structure Sliding Mode Control”, System&Control Letters 38, pp. 283-288, 1999.
[5] L. k. Wong, F. H. F. Leung, P. K. S. Tam, “A Chattering Elimination Algorithm for Sliding Mode Control of Uncertain Non-linear System”, Mechatronics 8, pp. 765-775, 1998.
[6] Q. P. Ha, D. C. Rye H. F. Durrant-Whyte, “Fuzzy Moving Sliding Mode Control with Application to Robotic Manipulators”, Automatica 35, pp. 607-616, 1999.
[7] Y. P. Chen, “Variable Structure Control Design”, Taipei, Chuan Hwa Science & Technology Book CO., LTD., 1999.
[8] A. ?abanovi?, K. Jezernik, M. Rodi?, “Neural Network Application in Sliding Mode Control Systems“, VSS '96. Proceedings, 1996 IEEE International Workshop on , 1996 , pp. 143 —147.
[9] R. ?afari?, K. Jezernik, M. Rodi?, A. ?abanovi?, “Sliding-Mode Neural Network Robot Controller”, AMC '96-MIE. Proceedings, 1996 4th International Workshop on, vol. 1, pp. 395-400, 1996.
[10] Y. Fang, T. W. S. Chow, X. D. Li, “Use of a Recurrent Neural Network in Discrete Sliding-Mode Control”, Control Theory and Applications, IEE Proceedings, vol. 146, pp. 84-90, 1999.
[11] Y. J. Cao, S. J. Cheng, Q. H. Wu, “Sliding Mode Control of Nonlinear Systems Using Neural Network”, Control '94. International Conference on, 1994, vol. 1, pp. 855-859, 1994.
[12] M. Ertugrul, O. Kaynak, “Neuro-Sliding Mode Control of Robotic Manipulators”, Mechatronics 10, pp. 239-263, 2000.
[13] C. S. Chen and W. L. Chen, “Analysis and Design of Uncertain Nonlinear Systems using Fuzzy Control Logic”, Power Mechanical Engineering, NTHU, 1996.
[14] M. L. Lee, H. Y. Chung, “Hierarchical Fuzzy Control with Applications to Seesaw Systems”, the thesis of the B. S., Electrical Engineering in National Central University, 2000.
指導教授 鍾鴻源(Hung-yuan Chung) 審核日期 2001-6-28
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