Hybrid PD sliding mode control of a two degree-of-freedom parallel robotic manipulator

One of the most important tasks in robotic applications is trajectory tracking. For such applications it is inherently important that the system obtains a high tracking performance. A widespread control method for trajectory tracking is PD control, which is well-known for its ease of implementation and acceptable tracking performance. However, for tasks that require high precision some advanced methods may be considered that provides higher tracking performance. One such a control method is sliding mode control (SMC), which provides robustness and low tracking errors. In this paper, using the hybridization concept, a new control law is formulated which combined the ease of implementation that PD control provides and the high tracking performance of SMC, while avoiding the inherent drawback of both. The so-called hybrid PD-SMC law provides model-free nonlinear feedback control. The effectiveness of the proposed hybrid control method is investigated through various simulation experiments that provide a comparison in both tracking performance and robustness with stand PD and SMC methods.

[1]  F. Ghorbel,et al.  A validation study of PD control of a closed-chain mechanical system , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[2]  Peng-Yung Woo,et al.  Global stability analysis for some trajectory-tracking control schemes of robotic manipulators , 2001, J. Field Robotics.

[3]  K. Ting,et al.  Rotatability Laws for N-Bar Kinematic Chains and Their Proof , 1991 .

[4]  Kwun-Lon Ting,et al.  Mobility criteria of single-loop N-bar linkages , 1989 .

[5]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[6]  Peter X. Liu,et al.  PD output feedback control design for industrial robotic manipulators , 2011, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[7]  Giovanni Ulivi,et al.  A frequency-domain approach to learning control: implementation for a robot manipulator , 1992, IEEE Trans. Ind. Electron..

[8]  Giorgio Bartolini,et al.  Digital second-order sliding mode control for uncertain nonlinear systems , 2001, Autom..

[9]  Rong-Jong Wai,et al.  Sliding-mode-controlled slider-crank mechanism with fuzzy neural network , 2001, IEEE Trans. Ind. Electron..

[10]  Leila Notash,et al.  Adaptive sliding mode control with uncertainty estimator for robot manipulators , 2010 .

[11]  Asif Sabanoviç,et al.  Sliding-Mode Control for High-Precision Motion of a Piezostage , 2007, IEEE Transactions on Industrial Electronics.

[12]  Rafael Kelly,et al.  PD Control with Desired Gravity Compensation of Robotic Manipulators , 1997, Int. J. Robotics Res..

[13]  Fathi H. Ghorbel Modeling and PD control of closed-chain mechanical systems , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[14]  Andrew G. Alleyne,et al.  A High Precision Motion Control System With Application to Microscale Robotic Deposition , 2006, IEEE Transactions on Control Systems Technology.

[15]  Wen-Jun Zhang,et al.  Design, modeling and control of a hybrid machine system , 2004 .

[16]  Olivier Chételat,et al.  A Reduced Model for Constrained Rigid Bodies with application to Parallel Robots , 1994 .

[17]  Jon Rigelsford,et al.  Modelling and Control of Robot Manipulators , 2000 .

[18]  Yunhui Liu,et al.  Dynamic sliding PID control for tracking of robot manipulators: theory and experiments , 2003, IEEE Trans. Robotics Autom..