Stable robust adaptive control of robotic manipulators with switched constraints

In this paper, the problem of controlling switched constrained robotic manipulators is addressed. Switched constrained robots are those robots interacting with multiple switched constraints. We start our control algorithm with suggesting a sliding mode controller that is proved to provide stable system performance. However, the bounds of the functions, on each link, caused from the constraints are assumed to be known. Then an adaptive sliding mode control strategy is suggested that relaxes the need for knowing the bounds of the constraints functions with guaranteeing global stable performance of the given switched constrained robotic system. Finally, we complement the control strategy above through deriving an improved robust adaptive control scheme that is proved to give a stable performance with reduced chattering. All of the three stages of the suggested control strategy are derived through finding a common Lyapunov function that can stabilize all of the subsystems for the overall switched system. Simulation is carried out for a two link robotic manipulator interacting with two switched constraints. From the simulation results we can see the excellent tracking performance and the high efficiency of the suggested control strategy in controlling switched constrained robotic systems.

[1]  John J. Craig,et al.  Hybrid position/force control of manipulators , 1981 .

[2]  Hariharan Krishnan,et al.  Tracking in nonlinear differential-algebraic control systems with applications to constrained robot systems , 1994, Autom..

[3]  Madan M. Gupta,et al.  An adaptive switching learning control method for trajectory tracking of robot manipulators , 2006 .

[4]  Bor-Sen Chen,et al.  Robust tracking designs for both holonomic and nonholonomic constrained mechanical systems: adaptive fuzzy approach , 2000, IEEE Trans. Fuzzy Syst..

[5]  Jean-Jacques E. Slotine,et al.  Adaptive sliding controller synthesis for non-linear systems , 1986 .

[6]  Ibrahim F. Jasim Improved observer-based robust adaptive control for a class of nonlinear systems with unknown deadzone , 2013, J. Syst. Control. Eng..

[7]  Prabhakar R. Pagilla,et al.  Adaptive Control of Mechanical Systems With Time-Varying Parameters and Disturbances , 2004 .

[8]  T. R.. Harris Tephly Singular systems of differential equations as dynamic models for constrained robot systems , 1986 .

[9]  Jean-Jacques E. Slotine,et al.  Sliding controller design for non-linear systems , 1984 .

[10]  Ibrahim F. Jasim Robust adaptive controller and observer design for a class of nonlinear systems with unknown Backlash- Like Hysteresis , 2011, 2011 IEEE International Conference on Control System, Computing and Engineering.

[11]  Daniel Liberzon,et al.  Switching in Systems and Control , 2003, Systems & Control: Foundations & Applications.

[12]  J. Slotine,et al.  On the Adaptive Control of Robot Manipulators , 1987 .

[13]  Hassan K. Khalil,et al.  Adaptive output feedback control of robot manipulators using high-gain observer , 1997 .

[14]  M. Spong,et al.  Robot Modeling and Control , 2005 .

[15]  Ibrahim Fahad Jasim,et al.  Adaptive sliding mode control design for a class of nonlinear systems with unknown dead zone of unknown bounds , 2010, 2010 1st International Conference on Energy, Power and Control (EPC-IQ).

[16]  Suguru Arimoto,et al.  A New Feedback Method for Dynamic Control of Manipulators , 1981 .

[17]  Gangbing Song,et al.  Robust position/force control of robot manipulators during contact tasks , 1994 .

[18]  Weiping Li,et al.  Composite adaptive control of robot manipulators , 1989, Autom..

[19]  D. Wang,et al.  Position and force control for constrained manipulator motion: Lyapunov's direct method , 1993, IEEE Trans. Robotics Autom..

[20]  N. Harris McClamroch,et al.  Singular systems of differential equations as dynamic models for constrained robot systems , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[21]  Patrizio Tomei,et al.  Adaptive PD controller for robot manipulators , 1991, IEEE Trans. Robotics Autom..

[22]  J. K. Mills Constrained manipulator dynamic models and hybrid control , 1988, Proceedings IEEE International Symposium on Intelligent Control 1988.