A New Asymptotic Tracking Approach for Robot Manipulators with Actuator Saturation

被引:0
|
作者
Su, Yuxin [1 ]
Swevers, Jan [1 ]
机构
[1] Katholieke Univ Leuven, Dept Mech Engn, Div PMA, B-3001 Louvain, Belgium
关键词
LEARNING CONTROL; CONTROLLER; DESIGN; STABILITY;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper revisits the asymptotic tracking of robot manipulators with actuator constraints. Different from the existing control methods, the proposed saturated control algorithm is developed based on a proportional- derivative (PD) feedback control scheme with computed feedforward of robot dynamics. The benefit of the developed design approach is that it offers a new bound to shape the actuator signal that is less conservative than bounds specified by previously developed saturated control schemes, hence allowing more freedom to design the feedback gains for the given actuator constraints. Lyapunov's direct method is used to prove semi-global asymptotic stability. Simulations performed on a two-degree-offreedom (DOF) manipulator are provided to illustrate the effectiveness and improved performance of the proposed approach.
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页数:6
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