An adaptive stiffness control scheme for robot manipulators in task-space

Author(s):  
Berenice R Maldonado-Fregoso ◽  
Marco O Mendoza-Gutierrez ◽  
Isela Bonilla-Gutierrez
Author(s):  
María del Carmen Rodríguez-Liñán ◽  
Marco Mendoza ◽  
Isela Bonilla ◽  
César A. Chávez-Olivares

AbstractA saturating stiffness control scheme for robot manipulators with bounded torque inputs is proposed. The control law is assumed to be a PD-type controller, and the corresponding Lyapunov stability analysis of the closed-loop equilibrium point is presented. The interaction between the robot manipulator and the environment is modeled as spring-like contact forces.The proper behavior of the closed-loop system is validated using a three degree-of-freedom robotic arm.


Author(s):  
H Yu ◽  
S Lloyd

An adaptive control scheme for robot manipulators including motor dynamics is proposed in this paper. The proposed scheme avoids the assumption that the values of motor parameters are known which is required in reference (13). An exponential control law is first developed under the assumption of no uncertainty. This forms a controller structure for the adaptive control. Using this control structure, a full-order adaptive control law is proposed to overcome parameter uncertainty for both robot link and motor. The stability analysis is in the Lyapunov stability sense. The method is further extended to the task space. Extensive simulations are performed to compare the different control schemes.


2020 ◽  
Author(s):  
Berenice Maldonado‐Fregoso ◽  
Marco Mendoza‐Gutierrez ◽  
Isela Bonilla‐Gutierrez ◽  
Carlos Vidrios‐Serrano

2020 ◽  
Vol 53 (2) ◽  
pp. 9968-9973
Author(s):  
Yalun Wen ◽  
Prabhakar Pagilla

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