Locked-joint failure identification for free-floating space robots

The space robot is concerned the most reasonable method for on-orbit servicing tasks. In space applications, failure of the manipulator is critical for both the space robot and the spacecraft serviced. The failure mode concerned in this paper is locked-joint failure which is one of the most common modes. To identify the locked position of the joint, the response mapping between of the joints motion and the base motion is derived based on momentum conservation theorem. Then, the base velocity can be computed with a reckoned value of the locked position. By revising the reckoned value, the error between the velocities calculated and measured can be decreased. The Differential Evolution (DE) algorithm is utilized to search the locked position. At last, the illustrative simulation shows that the failure identification method proposed in this paper is feasible and the identified result is accurate.

[1]  Ou Ma,et al.  A review of space robotics technologies for on-orbit servicing , 2014 .

[2]  Kazuya Yoshida,et al.  Resolved motion rate control of space manipulators with generalized Jacobian matrix , 1989, IEEE Trans. Robotics Autom..

[3]  Paul Sas,et al.  INTELLIGENT JOINT FAULT DIAGNOSIS OF INDUSTRIAL ROBOTS , 1998 .

[4]  Yangsheng Xu,et al.  The Cartesian Path Planning of Free-Floating Space Robot using Particle Swarm Optimization , 2008 .

[5]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[6]  Anthony A. Maciejewski,et al.  Optimal mapping of joint faults into healthy joint velocity space for fault-tolerant redundant manipulators , 2011, Robotica.

[7]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[8]  Jer-Nan Juang,et al.  Joint position sensor fault tolerance in robot systems using Cartesian accelerometers , 1996 .

[9]  Anthony A. Maciejewski,et al.  Measuring and reducing the Euclidean-space effects of robotic joint failures , 2000, IEEE Trans. Robotics Autom..

[10]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[11]  G. Hirzinger,et al.  Joint Fault-Tolerant Design of the Chinese Space Robotic Arm , 2006, 2006 IEEE International Conference on Information Acquisition.

[12]  Myron A. Diftler,et al.  A fault tolerant joint drive system for the Space Shuttle remote manipulator system , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[13]  Yangsheng Xu,et al.  PSO-Based Time-Optimal Trajectory Planning for Space Robot with Dynamic Constraints , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.

[14]  Yunong Zhang,et al.  Fault-tolerant motion planning and control of redundant manipulator , 2012 .

[15]  Manish Goel,et al.  Analyzing unidentified locked-joint failures in kinematically redundant manipulators , 2005 .

[16]  John T. Chladek,et al.  Fault-tolerant joint development for the Space Shuttle remote manipulator system: analysis and experiment , 1993, IEEE Trans. Robotics Autom..

[17]  Ju-Jang Lee,et al.  Fault detection and robust fault recovery control for robot manipulators with actuator failures , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[18]  Darrell K. Root,et al.  Space Robotics: Dynamics and Control , 1996 .