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Fuzzy adaptive sliding mode control for a class of uncertain nonlinear MIMO systems with application to a 2DOF twin propeller

Alasti, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1007/3-540-44967-1_60
  3. Abstract:
  4. A practical design method is presented which used the fuzzy logic advantages in adaptation of sliding mode control. The combined Fuzzy Adaptive Sliding Control (FASC) is designed in such a way to enhance satisfactory sliding performance and robustness with good level of chattering alleviation. The design approach is valid for a class of nonlinear uncertain MIMO systems. This control algorithm does not require the system model. A supervisory term is appended to the controller to assure the stability of fuzzy sliding mode control through Lyapunov theory. The design approach has been applied to a 2DOF twin propeler system with large uncertainty. Simulation results verified effectiveness of proposed method
  5. Keywords:
  6. Fuzzy adaptive sliding control (FASC) ; Lyapunov theory ; Sliding performance ; System model ; Adaptive control systems ; Aircraft propellers ; Degrees of freedom (mechanics) ; Fuzzy sets ; Nonlinear control systems ; Robustness (control systems) ; Sliding mode control ; Uncertain systems ; Fuzzy control
  7. Source: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) ; Vol. 2715 , 2003 , Pages 500-507 ; ISSN: 03029743
  8. URL: http://link.springer.com/chapter/10.1007%2F3-540-44967-1_60