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Nonlinear pd controllers with gravity compensation for robot manipulators Cover

Nonlinear pd controllers with gravity compensation for robot manipulators

Open Access
|Apr 2014

References

  1. 1. Takegaki, M., S. Arimoto. A New Feedback Method for Dynamic Control of Manipulator. - Journal of Dynamic Systems. Measurement and Control, Vol. 102, 1981, 119-125.10.1115/1.3139651
  2. 2. Arimoto, S., F. Miyazaki. Stability and Robustness of PD Feedback Control With Gravity Compensation for Robot Manipulator. - In: F. W. Paul, D. Youcef-Toumi, Eds. Robotics: Theory and Practice, Vol. 3, 1986, 67-72.
  3. 3. Hsia, T. C. Robustness Analysis ofa PD Controller with Approximate Gravity Compensation for Robot Manipulator Control. - Journal of Robotic Systems, Vol. 11, 1994, 517-521.10.1002/rob.4620110606
  4. 4. Kelly, R., R. Carelli. A Class of Nonlinear PD-Type Controllers for Robot Manipulators. - Journal of Robotic Systems, Vol. 13, 1996, 793-802.10.1002/(SICI)1097-4563(199612)13:12<;793::AID-ROB2>3.0.CO;2-Q
  5. 5. Seraji, H. A New Class of Nonlinear PID Controllers with Robotic Applications. - Journal of Robotic Systems, Vol. 15, 1998, 61-81.10.1002/(SICI)1097-4563(199803)15:3<;161::AID-ROB4>3.0.CO;2-O
  6. 6. Bucklaew, T. P., C. S. Li u. A New Nonlinear Gain Structure for PD-Type Controllers in Robotic Applications. - Journal of Robotic Systems, Vol. 16, 1999, 627-649.10.1002/(SICI)1097-4563(199911)16:11<;627::AID-ROB3>3.0.CO;2-B
  7. 7. Reyes, F., A. Rosado. Polynomial Family of PD-Type Controllers for Robot Manipulators. - Control Engineering Practice, Vol. 13, 2005, 441-450.10.1016/j.conengprac.2004.04.005
  8. 8. Yamada, T., T. Yabuta. Neural Network Controller Using Autotuning Method for Nonlinear Function. - IEEE Transactions on Neural Networks, Vol. 3, 1992, 595-601.10.1109/72.143373
  9. 9. Ye, J. Analog Compound Orthogonal Neural Network Control of Robotic Manipulators. - In: Y. L. Wei, K. T. Chong, T. Takahashi et al., Eds. Proceedings of the 3th International Conference on Mechatronics and Information Technology, Chongqing, China, Vol. 6042, 2005, Part Two, 60422L-1-60422L-6.
  10. 10. Thanh, T. D. C., K. K. Ah n. Nonlinear PID Control to Improve the Control Performence of 2 Axes Pneumatic Artificial Muscle Manipulator Using Neural Network. - Mechatronics, Vol. 16, 2006, 577-587.10.1016/j.mechatronics.2006.03.011
  11. 11. Ye, J., Y. P. Zhao. Application of an Analog Compound Orthogonal Neural Network in Robot Control. - In: W. Shi, S. X. Yang, S. Liang et al., Eds. Proceedings of the International Conference on Sensing, Computing and Automation, Chongqing, China, 2006, 455-458.
  12. 12. Ye, J. Adaptive Control of Nonlinear PID-Based Analog Neural Networks fora Nonholonomic Mobile Robot. - Neurocomputing, Vol. 71, 2008, 1561-1565. 10.1016/j.neucom.2007.04.014
DOI: https://doi.org/10.2478/cait-2014-0011 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 141 - 150
Published on: Apr 9, 2014
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2014 Jianfeng Huang, Chengying Yang, Jun Ye, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.