A Novel Kinematic Coupling-Based Trajectory Planning Method for Overhead Cranes

Motivated by the desire to achieve smooth trolley transportation and small payload swing, a kinematic coupling-based off-line trajectory planning method is proposed for 2-D overhead cranes. Specifically, to damp out unexpected payload swing, an antiswing mechanism is first introduced into an S-shape reference trajectory based on rigorous analysis for the coupling behavior between the payload and the trolley. After that, the combined trajectory is further tuned through a novel iterative learning strategy, which guarantees accurate trolley positioning. The performance of the proposed trajectory is proven by Lyapunov techniques and Barbalat's lemmas. Finally, some simulation and experiment results are provided to demonstrate the superior performance of the planned trajectory.

[1]  Yongchun Fang,et al.  Switching-based emergency braking control for an overhead crane system , 2010 .

[2]  Cheng-Yuan Chang,et al.  Adaptive Fuzzy Controller of the Overhead Cranes With Nonlinear Disturbance , 2007, IEEE Transactions on Industrial Informatics.

[3]  Yongchun Fang,et al.  Adaptive Trajectory Tracking Control of Underactuated 3-dimensional Overhead Crane Systems: Adaptive Trajectory Tracking Control of Underactuated 3-dimensional Overhead Crane Systems , 2010 .

[4]  Dejun Mu,et al.  A new type of parallel finger mechanism , 2007, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[5]  Guoqiang Hu,et al.  Lyapunov-Based Tracking Control in the Presence of Uncertain Nonlinear Parameterizable Friction , 2007, IEEE Transactions on Automatic Control.

[6]  Clément Gosselin,et al.  Force Analysis of Connected Differential Mechanisms: Application to Grasping , 2006, Int. J. Robotics Res..

[7]  Hongzhe Jin,et al.  A Balancing Control Strategy for a One-Wheel Pendulum Robot Based on Dynamic Model Decomposition: Simulations and Experiments , 2011, IEEE/ASME Transactions on Mechatronics.

[8]  Cheng-Yuan Chang,et al.  Overhead cranes fuzzy control design with deadzone compensation , 2009, Neural Computing and Applications.

[9]  Atsushi Konno,et al.  Analytic singularity analysis of a 4-DOF parallel robot based on Jacobian deficiencies , 2010 .

[10]  J. Angeles,et al.  Experimental Validation of an Underactuated Two-Wheeled Mobile Robot , 2009, IEEE/ASME Transactions on Mechatronics.

[11]  Shinya Kajikawa Soft finger-joint mechanism for human-care service robot , 2005, ICMIT: Mechatronics and Information Technology.

[12]  Jian-Xin Xu,et al.  Initial state iterative learning for final state control in motion systems , 2008, Autom..

[13]  John J. Craig,et al.  Introduction to Robotics Mechanics and Control , 1986 .

[14]  John J. Craig,et al.  Introduction to robotics - mechanics and control (2. ed.) , 1989 .

[15]  Y. Yoshida,et al.  Visual feedback control of an overhead crane and its combination with time-optimal control , 2008, 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[16]  Gürsel Alici,et al.  Swing-free transportation of suspended objects with robot manipulators , 1999, Robotica.

[17]  Zhang Xuebo,et al.  Adaptive Trajectory Tracking Control of Underactuated 3-dimensional , 2010 .

[18]  Vivek Sangwan,et al.  Differentially Flat Design of Bipeds Ensuring Limit Cycles , 2007, IEEE/ASME Transactions on Mechatronics.

[19]  Sadettin Kapucu,et al.  On preshaped reference inputs to reduce swing of suspended objects transported with robot manipulators , 2000 .

[20]  Youngjin Choi,et al.  Stackable 4-BAR mechanisms and their robotic applications , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  Warren E. Dixon,et al.  Nonlinear coupling control laws for an underactuated overhead crane system , 2003 .

[22]  Hong Liu,et al.  An Inverse-Kinematics Table-Based Solution of a Humanoid Robot Finger With Nonlinearly Coupled Joints , 2009, IEEE/ASME Transactions on Mechatronics.

[23]  Toru Omata,et al.  Assemblable three-fingered nine-degree of freedom hand for laparoscopic surgery , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[24]  Maria Chiara Carrozza,et al.  Biomechatronic Design and Control of an Anthropomorphic Artificial Hand for Prosthetic and Robotic Applications , 2007 .

[25]  O Sawodny,et al.  Active Control for an Offshore Crane Using Prediction of the Vessel’s Motion , 2011, IEEE/ASME Transactions on Mechatronics.

[26]  Jianqiang Yi,et al.  Adaptive sliding mode fuzzy control for a two-dimensional overhead crane , 2005 .

[27]  Y Hori,et al.  Robust Tracking Controller Design With Uncertain Friction Compensation Based on a Local Modeling Approach , 2010, IEEE/ASME Transactions on Mechatronics.

[28]  Ali H. Nayfeh,et al.  Dynamics and Control of Cranes: A Review , 2003 .

[29]  Koichi Koganezawa,et al.  Novel mechanism of artificial finger using double planetary gear system , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[30]  Warren E. Dixon,et al.  Homography-based visual servo regulation of mobile robots , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[31]  Paolo Dario,et al.  Bimanual Robot for Single-Port Laparoscopic Surgery with on-board actuation , 2010 .

[32]  N. Aoshima,et al.  Reachable and stabilizable area of an underactuated manipulator without state feedback control , 2005, IEEE/ASME Transactions on Mechatronics.

[33]  Xuebo Zhang,et al.  Adaptive Tracking Control for an Overhead Crane System , 2008 .

[34]  Michael H. Kenison,et al.  Input Shaping Control of Double-Pendulum Bridge Crane Oscillations , 2008 .