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Title page for etd-0713105-151333


URN etd-0713105-151333 Statistics This thesis had been viewed 2660 times. Download 1433 times.
Author Chih-chin Yang
Author's Email Address jr031325@yahoo.com.tw
Department Electrical Engineering
Year 2004 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 49
Title ADAOTIVE FUZZY MODELING CONTROL OF UNCERTAIN NONLINEAR SYSTEMS WITH AN UNKNOWN DEAD-ZONE
Keyword
  • variable structure control
  • robust adaptive fuzzy control
  • nonlinear system
  • Lyapunov stability theorem
  • dead-zone
  • dead-zone
  • Lyapunov stability theorem
  • nonlinear system
  • robust adaptive fuzzy control
  • variable structure control
  • Abstract In this thesis, a robust adaptive fuzzy control scheme is proposed for a class of uncertain nonlinear systems preceded by an unknown dead-zone. Dead-zone characteristics are quite commonly encountered in actuators, such as hydraulic and pneumatic valves, electric servomotors, and electronic circuits, etc. Therefore, by using a description of a dead-zone and exploring the properties of this dead-zone model intuitively and mathematically, a robust adaptive fuzzy control method is presented without constructing the dead-zone inverse. The unknown nonlinear functions of the plant are approximated by the fuzzy logic system according to some adaptive laws. Based on Lyapunov stability theorem and the theory of variable structure control, the proposed robust adaptive fuzzy sliding mode control scheme can guarantee the robust stability of the whole closed-loop system with an unknown dead-zone in the actuator and obtain good tracking performance as well. Finally, some examples and simulation results are provided to illustrate the versatility and performance of the proposed method.
    Advisor Committee
  • Chiang-cheng Chiang - advisor
  • Chung-chun Kung - co-chair
  • none - co-chair
  • Files indicate access worldwide
    Date of Defense 2005-07-06 Date of Submission 2005-07-13


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