TY - JOUR
T1 - Two performance enhanced control of flexible-link manipulator with system uncertainty and disturbances
AU - Xu, Bin
AU - Yuan, Yuan
N1 - Publisher Copyright:
© 2017, Science China Press and Springer-Verlag Berlin Heidelberg.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - Precision control of flexible-link manipulator for space operation is challenging due to the dynamics coupling and system uncertainty. In this paper, to deal with system uncertainty and time-varying disturbance, two performance enhanced controller designs, named Composite Learning Control and Disturbance Observer Based Control are presented respectively. To overcome the nonminimum phase, using output redefinition, the dynamics is transformed to two subsystems: internal system and input-output system. For the internal dynamics, the PD (proportion differentiation) control is used with pole assignment. For the input-output subsystem, considering the unknown dynamics, the composite learning control is designed using neural modeling error while in case of disturbance, the disturbance observer based design is proposed. The stability analysis of the closed-loop system is presented via Lyapunov approach. Simulation of 2-degrees of freedom (DOF) flexible-link manipulator is conducted and the results show that the proposed methods can enhance the tracking performance.
AB - Precision control of flexible-link manipulator for space operation is challenging due to the dynamics coupling and system uncertainty. In this paper, to deal with system uncertainty and time-varying disturbance, two performance enhanced controller designs, named Composite Learning Control and Disturbance Observer Based Control are presented respectively. To overcome the nonminimum phase, using output redefinition, the dynamics is transformed to two subsystems: internal system and input-output system. For the internal dynamics, the PD (proportion differentiation) control is used with pole assignment. For the input-output subsystem, considering the unknown dynamics, the composite learning control is designed using neural modeling error while in case of disturbance, the disturbance observer based design is proposed. The stability analysis of the closed-loop system is presented via Lyapunov approach. Simulation of 2-degrees of freedom (DOF) flexible-link manipulator is conducted and the results show that the proposed methods can enhance the tracking performance.
KW - composite learning control
KW - disturbance observer
KW - flexible-link manipulator
KW - output redefinition
KW - system uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85012920636&partnerID=8YFLogxK
U2 - 10.1007/s11432-016-0604-6
DO - 10.1007/s11432-016-0604-6
M3 - 文章
AN - SCOPUS:85012920636
SN - 1674-733X
VL - 60
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 5
M1 - 050202
ER -