Decentralised adaptive control of cooperating Robotic manipulators with disturbance observers

In this study, the authors present decentralised adaptive controllers for two cooperating robotic manipulators moving an object with constrained trajectory/force in the presence of dynamics uncertainties and external disturbances. The cooperating manipulators are described as an aggregation of subsystems. For control design, first a decentralised local dynamics coupled with physical interactions between subsystems is developed, and then a decentralised adaptive control merging parameter adaptation and disturbance observer is constructed, such that motion and force trajectories converge to the desired manifolds and the effect of non-parametrisable uncertainties is compensated by the disturbance observer. Experiment studies are carried out to show the efficiency of the control design.

[1]  Shuzhi Sam Ge,et al.  Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities , 2010, IEEE Transactions on Neural Networks.

[2]  Shuzhi Sam Ge,et al.  Robust adaptive control of coordinated multiple mobile manipulators , 2008 .

[3]  Shuzhi Sam Ge,et al.  Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints , 2011, Autom..

[4]  Li-Chen Fu,et al.  A fully adaptive decentralized control of robot manipulators , 2006, Autom..

[5]  Shuzhi Sam Ge,et al.  Robust adaptive control of uncertain force/motion constrained nonholonomic mobile manipulators , 2008, Autom..

[6]  Khac Duc Do,et al.  Motion Control of a Two-Wheeled Mobile Vehicle with an Inverted Pendulum , 2010, J. Intell. Robotic Syst..

[7]  Toshio Fukuda,et al.  A nonlinear disturbance observer for multivariable systems and its application to magnetic bearing systems , 2004, IEEE Transactions on Control Systems Technology.

[8]  Yong Tang,et al.  Decentralised adaptive fuzzy control of coordinated multiple mobile manipulators interacting with non-rigid environments , 2013 .

[9]  Zhijun Li,et al.  Adaptive Dynamic Coupling Control of Hybrid Joints of Human-Symbiotic Wheeled Mobile Manipulators with Unmodelled Dynamics , 2010, Int. J. Soc. Robotics.

[10]  Shaheen Ahmad,et al.  Coordinated motion control of multiple robotic devices for welding and redundancy coordination through constrained optimization in Cartesian space , 1989, IEEE Trans. Robotics Autom..

[11]  Shuzhi Sam Ge,et al.  Robust Adaptive Position Mooring Control for Marine Vessels , 2013, IEEE Transactions on Control Systems Technology.

[12]  Shuzhi Sam Ge,et al.  Robust Adaptive Control of Cooperating Mobile Manipulators With Relative Motion , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[13]  Chun-Yi Su,et al.  A Novel Robust Nonlinear Motion Controller With Disturbance Observer , 2006, IEEE Transactions on Control Systems Technology.

[14]  Bo Gao,et al.  Pareto-optimal coordination of multiple robots with safety guarantees , 2011, Autonomous Robots.

[15]  Yu Tang,et al.  Adaptive output-feedback decentralized control of a class of second order nonlinear systems using recurrent fuzzy neural networks , 2009, Neurocomputing.

[16]  Kok Kiong Tan,et al.  Decentralized adaptive controller design of large-scale uncertain robotic systems , 2009, Autom..

[17]  Shuzhi Sam Ge,et al.  Hard Disk Drives Control in Mobile Applications , 2007, J. Syst. Sci. Complex..

[18]  S. S. Ge,et al.  Synchronised tracking control of multi-agent system with high order dynamics , 2012 .

[19]  Takamasa Hori,et al.  Control of redundant manipulators considering order of disturbance observer , 2000, IEEE Trans. Ind. Electron..

[20]  Bo Gao,et al.  Game theory-based negotiation for multiple robots task allocation , 2013, Robotica.

[21]  Shuzhi Sam Ge,et al.  Robust attitude control of helicopters with actuator dynamics using neural networks , 2010 .