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基于T-S模型的非线性系统的最终滑动模态控制 被引量:2

The Terminal Sliding Mode Control for Nonlinear System Based on T-S Model
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摘要 采用T_S模糊动态模型逼近非线性系统 ,将非线性系统模糊化为局部线性模型 .用Lyapunov稳定性理论设计出确保T_S模型全局渐近稳定的变结构控制器 .采用单位向量控制形式的最终滑动模态控制器 ,对满足匹配条件和不满足匹配条件的不确定性均适用 .以倒立摆为模型的仿真实验 。 Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model. The variable structure controller that is designed by using Lyapunov theory insures the stability of system. The terminal sliding mode controller is designed by using unit vector style, and it suits the uncertain elements whether it satisfies the matching condition or not. The effect of the scheme has been tested by a simulation of an inverted pendulum.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2002年第2期287-290,共4页 Control Theory & Applications
基金 高等学校骨干教师资助计划项目 国家自然科学基金 (698740 42 )资助项目
关键词 T-S模型 非线性系统 滑动模态控制 模糊理论 nonlinear T_S model sliding model control
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参考文献6

  • 1Takagi T and Sugeno M. Fuzzy identification of systems and its application to modeling and control [J]. IEEE Trans. Syst., Man, Cybern.,1985,15(1):116-132
  • 2Tanaka T and Sugeno M. Stability analysis and design of fuzzy control systems [J]. Fuzzy Sets and Systems, 1992,45(2):135-156
  • 3Tanaka K and Sano M. Fuzzy stability criterion of a class of nonlinear systems [J]. Information Science, 1993,70(1):3-26
  • 4Gao W B. The Theoretical Basis About Variable Structure Control [M]. Beijing: Science Publication of China, 1990 (in Chinese)
  • 5Tian H Q. The Sliding Mode Control Theory and Application [M]. Wuhan: Wuhan Publication, 1995 (in Chinese)
  • 6Utkin V I. Variable structure systems with sliding models [J]. IEEE Trans. Automat. Contr., 1977,22(20):212-222

同被引文献29

  • 1常玲芳.一类非线性系统的模糊变结构控制方案[J].系统工程与电子技术,2004,26(10):1462-1463. 被引量:2
  • 2ANTSAKLIS P, BAILLIEUL J. Special issue on net- worked control systems[J]. IEEE Transactions on Automatic Control, 2004, 49(9): 1424-1 603.
  • 3BUSHNELL L G. The special section on networks and control[J]. IEEE Control System Magazine, 2001, 21(1): 122-185.
  • 4ZHANG W, BRANICKY M S, PHILIPS S M. Stabil- ity of networked control systems[J]. IEEE Control System Magazine 2001 21(1)" 84-99.
  • 5YUE Dong, HAN Qian-long, LAM J. Network-based robust Ho control of systems with uncertainty[J]. Automatica, 2005, 41(6): 999-100 7.
  • 6Wu Jun CHEN Tao. Design of networked control systems with packet dropoutsIJ]. IEEE Trans Auto- matic Controls 2007 52(7): 1 314-1319.
  • 7Yu Min, WANG Liang, CHU Tong. Sampled-data stabilization of networked control systems with non- linearity[J]. IEEE Proc Control Theory Appl 2005, 152(6): 609-614.
  • 8BATTILOTTI S. Control over a communication chan- nel with random noise and delays[J]. Automatic, 2008, 41(2): 348-360.
  • 9TAKAGI T, SUGENO M. Fuzzy identification of sys- tems and its application to modeling and control[J]. IEEE Trans on Systems, Man and Cybernetics, 1985, 15(1): 116-132.
  • 10LIN Y C, Lo J C. Exponential stability of filtering problems for delay fuzzy systemsIC/OL]// Proceedings of the 2004 IEEE International Confer- ence on Networking, Sensing and Control, Taipei, March 21-23, 200412011-12-201. http://ieeexplore. ieee.org/stamp/stamp.jsp?tp=&arnumber= 1297071.

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