scholarly journals A fully adaptive decentralized control of robot manipulators

Automatica ◽  
2006 ◽  
Vol 42 (10) ◽  
pp. 1761-1767 ◽  
Author(s):  
Su-Hau Hsu ◽  
Li-Chen Fu
Keyword(s):  
Decentralized Control ◽  
Robot Manipulators ◽  
Fully Adaptive ◽  
Adaptive Decentralized Control

scholarly journals Distributed Synchronization Control to Trajectory Tracking of Multiple Robot Manipulators

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Yassine Bouteraa ◽  
Jawhar Ghommam ◽  
Gérard Poisson ◽  
Nabil Derbel
Keyword(s):  
Decentralized Control ◽  
Information Exchange ◽  
Robot Manipulators ◽  
Direct Method ◽  
Functional Method ◽  
Consensus Algorithm ◽  
Adaptive Synchronization ◽  
Synchronization Control ◽  
Control Law ◽  
Parameter Uncertainties

This paper investigates the issue of designing decentralized control laws to cooperatively command a team of general fully actuated manipulators. The purpose is to synchronize their movements while tracking a common desired trajectory. Based on the well-known consensus algorithm, the control strategy consists in synchronizing the joint position and the velocity of each robot in the network with respect to neighboring robots' joints and velocities. Modeled by an undirected graph, the cooperative robot network requires just local neighbor-to-neighbor information exchange between manipulators. So, it does not assume the existence of an explicit leader in the team. Based above all on combination of Lyapunov direct method and cross-coupling strategy, the proposed decentralized control law is extended to an adaptive synchronization control taking into account parameter uncertainties. To address the time delay problems in the network communication channels, the suggested synchronization control law robustly synchronizes robots to track a given trajectory. To this end, Krasovskii functional method has been used to deal with the delay-dependent stability problem. A real-time software simulator is developed to visualize the robot manipulators coordination.

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