Adaptive Backstepping Neural Tracking Control of an Uncertain Robot Manipulator with Dynamic Disturbances

Author(s):  
Ravi Prakash ◽  
Kurusetti Vinay Gupta ◽  
Laxmidhar Behera
Author(s):  
Alexander Bertino ◽  
Peiman Naseradinmousavi ◽  
Atul Kelkar

Abstract In this paper, we study the analytical and experimental control of a 7-DOF robot manipulator. A model-free decentralized adaptive control strategy is presented for the tracking control of the manipulator. The problem formulation and experimental results demonstrate the computational efficiency and simplicity of the proposed method. The results presented here are one of the first known experiments on a redundant 7-DOF robot. The efficacy of the adaptive decentralized controller is demonstrated experimentally by using the Baxter robot to track a desired trajectory. Simulation and experimental results clearly demonstrate the versatility, tracking performance, and computational efficiency of this method.


2021 ◽  
Author(s):  
Juan Wang ◽  
Qiang Wei ◽  
Quanze Zhao ◽  
Zhi-E Lou

Sign in / Sign up

Export Citation Format

Share Document