This paper proposes a hybrid ANFIS (Adaptive Neuro-Fuzzy Inference System) controller with DMRAC (Direct Model Reference Adaptive Control) and mathematical modeling of the kinematic and dynamic solutions. The controller was hybrid with a classical controller, and was designed for a spherical-wristed 6-DOF elbow manipulator. The manipulator’s trajectory overshoot and settling time affect movement; their minimization was thus aimed for. The whole manipulator-controller system was modeled and simulated on MATLAB Version 2011a and Robotics Toolbox 9. To increase accuracy, the ANFIS controller was trained to use many paths in rules and memberships selection. A 3D display model for the manipulator was built in MATLAB. The simulation of the design had done by using the MATLAB/SIMULINK through connection the design with 3D model. Satisfactory results show the hybrid controller’s capacity for precision and speed, both of which are higher than a classical controller’s alone.
Hybrid ANFIS Controller for 6-DOF Manipulator with 3D Model
2005-11-30
doi:10.24297/ijct.v4i2C2.4188
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol. 4 No. 2 (2013); 631-638 ; 2277-3061
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
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