Please use this identifier to cite or link to this item:
Title: PSO based backstepping sliding mode controller and observer for robot manipulators
Authors: Vijay, M.
Jena, D.
Issue Date: 2018
Citation: Proceedings of 2018 IEEE International Conference on Power, Instrumentation, Control and Computing, PICC 2018, 2018, Vol., , pp.1-6
Abstract: This paper examines the structure of an observer-based modified backstepping boundary sliding mode controller (BBSMC) for 2 degrees of freedom robot manipulator. A radial basis functional NN (RBFNN) is combined with BBSMC and adjustment law is derived for the effective control of a robot manipulator. The RBFNN-based observer is used to estimate the tracking position and velocity vector, at the same time RBFNN-based identifier provides an auxiliary torque to the robot manipulator. For both the observer and identifier, a PSO based off-line tuning method is adapted to tune the weights of RBFNN network. The stability of developed controller is checked by utilizing Lyapunov stability function. Finally, the performance of the proposed NNAOBBSMC is validated experimentally. � 2018 IEEE.
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.