نتایج جستجو برای: fuzzy tracking control

تعداد نتایج: 1493457  

2004
Z. Qu R. Johnson

A robust fuzzy control is developed for robot manipulators to guarantee both global stability and Performance. Robot dynamics under consideration may include large nonlinear uncertainties, such as nonlinear load variations and unmodelled dynamics. Fuzzy sets are chosen based on performance requirements and stability regions of the control system. For each fuzzy set, a sub-control is designed, b...

Journal: :Transactions of the Society of Instrument and Control Engineers 1991

2015
Habib Ben Zina Moez Allouche Mansour Souissi Mohamed Chaabane

This paper presents an active fault tolerant control (FTC) strategy for induction motor drive that ensures trajectory tracking and offset the effect of the sensor faults despite the presence of load torque disturbance. The proposed approaches use a fuzzy descriptor observer to estimate simultaneously the system state and the sensor fault. The physical model of induction motor is approximated by...

1999
Ángel Rodriguez Castaño Guillermo Heredia Aníbal Ollero

position estimation system based on GPS, that uses a fuzzy sensor fusion technique. A fuzzy path tracking algorithm is also proposed. Both systems have been implemented in the ROMEO-4R vehicle developed at the University of Seville. ÃÃDIUSP9V88DPI Path tracking of autonomous vehicles consists in the generation of the steering commands for a vehicle to follow autonomously a given path taking int...

Journal: :JES. Journal of Engineering Sciences 2010

Journal: :Journal of Japan Society for Fuzzy Theory and Systems 1992

Journal: :International Journal of Computers Communications & Control 2014

Journal: :International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2012

Journal: :JCP 2014
Junsheng Ren Xianku Zhang

This paper addresses an adaptive fuzzy controller design for a class of nonlinear system. The nonlinear system is in the framework of strict-feedback form. The system funtions are unknown, and external disturbances meet the triangular bound assumption. Takagi-Sugeno (T-S) type fuzzy logic systems are used to approximate the uncertain nonlinear functions. The control objective is to steering the...

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