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URN etd-0728106-164054 Statistics This thesis had been viewed 3020 times. Download 1378 times. Author Mon-Han Chen Author's Email Address No Public. Department Electrical Engineering Year 2005 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 31 Title ROBUST ADAPTIVE FUZZY CONTROL OF UNCERTAIN NONLINEAR TIME-DELAY SYSTEMS WITH AN UNKNOWN
Keyword dead-zone adaptive fuzzy adaptive fuzzy dead-zone Abstract ABSTRACT
This thesis proposes a robust adaptive fuzzy control scheme for the uncertain nonlinear time-delay systems preceded by an unknown dead-zone. It is well known that time-delay and dead-zone characteristics are frequently encountered in various engineering systems. The dead-zone phenomena may occur in various components of control systems including sensors, amplifiers and actuators, especially in pneumatic valves, in electric servo motors and in hydraulic components. On the other hand, the time-delay phenomena are quite commonly found in chemical process, hydraulic systems and pneumatic systems. In most practice motion systems, the dead-zone characteristics are usually poorly known and may vary with time. But, a robust adaptive fuzzy control method is presented without constructing the dead-zone inverse by using a description of a dead-zone and exploring the properties of this dead-zone model intuitively and mathematically. According to some adaptive laws, the unknown nonlinear functions of the plant are approximated by the fuzzy logic system. Based on Lyapunov stability theorem, the proposed robust adaptive fuzzy control scheme can guarantee the robust stability of the whole closed-loop nonlinear time-delay 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 prove efficiency of proposed method.
Advisor Committee Chiang-Cheng Chiang - advisor
none - co-chair
none - co-chair
Files Date of Defense 2006-07-26 Date of Submission 2006-07-28