scholarly journals Prediction-based control for nonlinear state- and input-delay systems with the aim of delay-robustness analysis

Author(s):  
Delphine Bresch-Pietri ◽  
Nicolas Petit ◽  
Miroslav Krstic
2013 ◽  
Vol 44 (2) ◽  
pp. 232-239 ◽  
Author(s):  
Antonio Gonzalez ◽  
Antonio Sala ◽  
Pedro Garcia ◽  
Pedro Albertos

Automatica ◽  
2010 ◽  
Vol 46 (12) ◽  
pp. 2000-2007 ◽  
Author(s):  
Baozhu Du ◽  
James Lam ◽  
Zhan Shu

Automatica ◽  
2012 ◽  
Vol 48 (2) ◽  
pp. 454-457 ◽  
Author(s):  
A. Gonzalez ◽  
A. Sala ◽  
P. Albertos

Author(s):  
Mostafa Bagheri ◽  
Miroslav Krstić ◽  
Peiman Naseradinmousavi

In this paper, a predictor-based controller for a 7-DOF Baxter manipulator is formulated to compensate a time-invariant input delay during a pick-and-place task. Robot manipulators are extensively employed because of their reliable, fast, and precise motions although they are subject to large time delays like many engineering systems. The time delay may lead to the lack of high precision required and even catastrophic instability. Using common control approaches on such delay systems can cause poor control performance, and uncompensated input delays can produce hazards when used in engineering applications. Therefore, destabilizing time delays need to be regarded in designing control law. First, delay-free dynamic equations are derived using the Lagrangian method. Then, we formulate a predictor-based controller for a 7-DOF Baxter manipulator, in the presence of input delay, in order to track desirable trajectories. Finally, the results are experimentally evaluated.


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