Tip Tracking of a Flexible-Link Manipulator with Radial Basis Function and Fuzzy System

With output redefinition of flexible-link manipulators an adaptive controller for tip tracking is presented based on radial basis function network (RBFN) and fuzzy system. The uniformly asymptotical stability (UAS) of control system is guaranteed by the Lyapunov analysis and the adaptive laws includ...

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Hauptverfasser: Tang, Yuangang, Sun, Fuchun, Sun, Zengqi
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:With output redefinition of flexible-link manipulators an adaptive controller for tip tracking is presented based on radial basis function network (RBFN) and fuzzy system. The uniformly asymptotical stability (UAS) of control system is guaranteed by the Lyapunov analysis and the adaptive laws including the centers and widths of Gaussian functions and coefficients of Takagi-Sugeno (TS) consequences can make the tracking error converge to zero. For comparison purpose, an RBFN controller with fixed centers and widths is also designed. The simulation results show that with similar performances the proposed controller can give smoother input torques than the conventional RBFN one.
ISSN:0302-9743
1611-3349
DOI:10.1007/11427469_37