Adaptive neural super twisting controller based on terminal sliding mode and time delay estimation method for robotic manipulator Online publication date: Fri, 09-Feb-2018
by Amar Rezoug; Mustapha Hamerlain
International Journal of Digital Signals and Smart Systems (IJDSSS), Vol. 1, No. 4, 2017
Abstract: In this paper a robust control approach based on sliding mode theory and artificial neural network technique was proposed for trajectory tracking mode of n-DOF robot manipulator. Time delay estimation method and non-singular terminal sliding mode control were used to design the nominal control part of the sliding mode control without any knowledge about the robot model. Super twisting algorithm was designed using radial based function neural networks to replace the discontinuous control part. In order to test the effectiveness of the proposed approach, it was applied to 2-DOF robotic manipulator and compared with a classical approach.
Online publication date: Fri, 09-Feb-2018
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