Adaptive control of manipulator flexible-joint with friction compensation using LuGre model

This paper addressed the adaptive backstepping control of space flexible-joint manipulator with nonlinear friction compensation. LuGre dynamic friction model was adopted to characterize the friction forces and dual state observers were proposed to estimate the internal immeasurable state of LuGre model. Based on the estimated friction state, adaptive laws were designed to identify the unknown model parameters and the external disturbances. The system stability and asymptotic trajectory tracking performance were guaranteed by Lyapunov function and demonstrated by the simulation results.

[1]  Xia Wang,et al.  Observer based friction compensation in robot control , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[2]  Shuzhi Sam Ge,et al.  Adaptive NN control of dynamic systems with unknown dynamic friction , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[3]  S.C.P. Gomes,et al.  Active control to flexible manipulators , 2006, IEEE/ASME Transactions on Mechatronics.

[4]  Hideki Hashimoto,et al.  Sliding mode based disturbance compensation for motion control , 1997, Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).

[5]  Zhang Wenjing,et al.  An Adaptive Sliding Mode Compensation for Friction and Force Ripple in PMSM AC Servo System , 2006, 2007 Chinese Control Conference.

[6]  Daniel Massicotte,et al.  Adaptive high precision position control for a flexible joint with friction and parameter uncertainties using neural networks , 1998, Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341).

[7]  Frank L. Lewis,et al.  Neural Network Control of Robot Manipulators , 1996, IEEE Expert.

[8]  Ying Wang,et al.  Nonlinear friction compensation and disturbance observer for a high-speed motion platform , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[9]  B.K. Su,et al.  Friction Compensation for High Precision Turntable Using Adaptive Sliding Mode Controller , 2007, 2007 2nd IEEE Conference on Industrial Electronics and Applications.

[10]  Chang-Woo Park,et al.  Robust Stable Fuzzy Control via Fuzzy Modeling and Feedback Linearization with Its Applications to Controlling Uncertain Single-link Flexible Joint Manipulators , 2004, J. Intell. Robotic Syst..

[11]  An-Chyau Huang,et al.  Adaptive sliding control for single-link flexible-joint robot with mismatched uncertainties , 2004, IEEE Transactions on Control Systems Technology.

[12]  Wen-Fang Xie,et al.  Sliding-Mode Observer Based Adaptive Control for Servo Actuator with Friction , 2007, 2007 International Conference on Mechatronics and Automation.

[13]  W. Chatlatanagulchai,et al.  Motion control of two-link flexible-joint robot, using backstepping, neural networks, and indirect method , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[14]  Ji-Gen Peng Neural Network Control of Flexible-joint Robot Manipulators , 2007 .

[15]  Hualin Tan,et al.  Adaptive friction compensation for induction motors with inertia and load uncertainties , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).