01971nas a2200169   4500008004100000245012500041210006900166260001900235300001000254490000600264520132600270653004401596653001301640100001101653700001201664856012501676       2007                        eng d00aRobust sliding mode control of a robot manipulator based on variable structure-model reference adaptive control approach0 aRobust sliding mode control of a robot manipulator based on vari  cSeptember 2007  a-13630 v13 a<p>A model reference adaptive-sliding mode control is presented and applied for a variable stiffness actuated (VSA) system. The VSA is a flexible stiffness machine with two coupled actuators in each link, and its safety during the movement can be guaranteed by varying both stiffness and the angular variables. Realisation of precise control of two coupled actuators poses a considerable challenge, however, because of uncertain time-varying parameters and unknown variation bounds. In this paper a neuro-sliding mode approach based on model reference adaptive control (MRAC) is proposed. The proposed MRAC control structure induces the VSA to follow its nominal dynamics with help of sliding mode control efforts. The sliding gain, implemented by a simple neural network (NN), is adaptively updated based on the Lyapunov criterion. A control law and adaptive laws for the sliding mode control as well as the weights in the NN are established so that the closed-loop system is stable in the sense of Lyapunov. The tracking errors of both the angular variables and stiffness are managed to guarantee the system to be asymptotically stable rather than uniformly ultimately bounded. And, the feasibility of the proposed control approach is demonstrated by means of experimental results as well as computer simulations.</p>
10aPhysical Human-Robot Interaction (pHRI)10aRobotics1 aHuh, S1 aBien, Z  uhttp://95.110.227.47/publications/robust-sliding-mode-control-robot-manipulator-based-variable-structure-model-reference