Trajectory planning and adaptive neural network based interval type-2 fuzzy logic controller design of 3-DOF robot
Küçük Resim Yok
Tarih
2011
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Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, design of an adaptive neural network based interval type-2 fuzzy logic controller (ANNIT2FL), circular and handwriting type trajectory planning are proposed to show ability of a 3-DOF( Degree of Freedom ) Scara type robot manipulator. The kinematic and the dynamic equations are used to obtain equations of motion of robot manipulator and three different rise functions are chosen for desired cartesian trajectory as circular tool trajectory. Then, handwriting type trajectory is created to test controller's performance. Trajectory results of ANNIT2FL controlled robot manipulator are compared with the results of PID control. Simulation results demonstrate the remarkable performance of the proposed control technique. © 2011 IEEE.
Açıklama
2011 3rd International Conference on Computer Research and Development, ICCRD 2011 -- 11 March 2011 through 15 March 2011 -- Shanghai -- 84959
Anahtar Kelimeler
Adaptive neural network, fuzzy logic, handwriting trajectory, interval type-2, scara robot
Kaynak
ICCRD2011 - 2011 3rd International Conference on Computer Research and Development
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
4