A novel neural second-order sliding mode observer for robust fault diagnosis in robot manipulators

2013 ◽  
Vol 14 (3) ◽  
pp. 397-406 ◽  
Author(s):  
Mien Van ◽  
Hee-Jun Kang ◽  
Young-Soo Suh
Keyword(s):  
Fault Diagnosis ◽  
Sliding Mode ◽  
Robot Manipulators ◽  
Second Order ◽  
Sliding Mode Observer ◽  
Second Order Sliding Mode

Research on the Fault Diagnosis Method of the Reconfigurable Modular Robot Based on Second-Order Sliding Mode Observer

2014 ◽  
Vol 541-542 ◽  
pp. 1062-1066
Author(s):  
Liang Wu ◽  
Yuan Chun Li
Keyword(s):  
Fault Diagnosis ◽  
Sliding Mode ◽  
Lyapunov Stability Theory ◽  
Second Order ◽  
Sliding Mode Observer ◽  
Modular Robots ◽  
Modular Robot ◽  
Joint Friction ◽  
Diagnosis Method ◽  
Second Order Sliding Mode

This paper was concerned with the fault diagnosis method based on the second-order sliding mode observer (SOSMO) for reconfigurable modular robot systems with joint friction. The residual signal between given threshold and output of the SOSMO are utilized to directly and effectively detect the fault of reconfigurable modular robot. The stability of the SOSMO is proved by using Lyapunov stability theory. In order to demonstrate the effectiveness of the proposed method, two different 2-DOF reconfigurable modular robots are employed for simulation.

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