International Journal of Precision Engineering and Manufacturing

Korean Society for Precision Engineering (한국정밀공학회)
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A study on Indirect Adaptive Decentralized Learning Control of the Vertical Multiple Dynamic System

  • Lee, Soo-Cheol (School of Automotive, Industrial and Mechanical Engineering, Daegu University) ;
  • Park, Seok-Sun (Graduate School of Mechanical Engineering, Yeungnam University) ;
  • Lee, Jeh-Won (School of Mechanical Engineering, Yeungnam University)
  • Published : 2006.01.01
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Abstract

The learning control develops controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented an iterative precision of linear decentralized learning control based on p-integrated learning method for the vertical dynamic multiple systems. This paper develops an indirect decentralized learning control based on adaptive control method. The original motivation of the learning control field was learning in robots doing repetitive tasks such as an assembly line works. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. Some techniques will show up in the numerical simulation for vertical dynamic robot. The methods of learning system are shown for the iterative precision of each link.

Keywords

References

  1. Arimoto, S., Kawamura, S. and Miyasaki, F., 'Bettering Operation of Robots by Learning,' Journal of Robotic Systems, Vol. 1, No. 2, pp. 123-140, 1984 https://doi.org/10.1002/rob.4620010203
  2. Middleton, R. H., Goodwin, G. C. and Longman, R. W., 'A Method for Improving the Dynamic Accuracy of a Robot Performing a Repetitive Task,' International Journal of Robotics Research, Vol. 8, No. 5, pp.67-74, 1989 https://doi.org/10.1177/027836498900800506
  3. Phan, M. and Longman, R. W., 'A Mathematical Theory of Learning Control for Linear Discrete Multivariable Systems,' Proceedings of the AIAA/AAS Astrodynamics Conference, Minneapolis, Minnesota, pp. 740-746, 1988
  4. Goodwin, G. C. and Sin, K. S., 'Adaptive Filtering Prediction and Control,' Prentice Hall, Inc., 1984
  5. Phan, M. and Longman, R. W., 'Indirect Learning Control with Guaranteed Stability,' Proceedings of the 1989 Conference on Information Sciences and Systems, Johns Hopkins University, Baltimore, MD, 1989, pp.125-131
  6. Longman, R., Lee, S. and Phan, M., 'Indirect Decentralized Learning Control,' Advances in the Astronautical Sciences, American Astronautical Society, Proceedings of the 1992 AAS/AIAA Spaceflight Mechanics Meeting, Colorado Springs, February 1992
  7. Lee, S., 'Precision of Iterative Learning Control for the Multiple Dynamic Subsystems,' J. of the KSPE, Vol. 18, No. 3, pp.131-142, 2001
  8. Lee, S. and Park, S., 'Research for Improvement of Iterative Precision of the Vertical Multiple Dynamic System,' J. of the KSPE, Vol. 21, No. 5, pp.64-72, 2004
  9. Yum, Y., 'Bio-Robots and Intelligent Prosthetics,' J. of the KSPE, Vol. 17, No. 11, pp.36-42, 2000
  10. Kim, S., Jung, S., Ryu, D., Choi, K. and Kim, B., 'Development of the Pneumatic Manipulator of Gait Rehabilitation Robot using Fuzzy Control,' J. of the KSPE, Vol. 17, No. 12, pp.169-175, 2000
  11. Shin, H., Kang, C., Jung, S. and Kim, S., 'Force Control of an Arm of Walking Training Robot Using Sliding Mode Controller,' J. of the KSPE, Vol. 19, No. 12, pp.38-44, 2002
  12. Shin, H., Choi, S. and Kim, S., 'Position and Vibration Control of Flexible 2-Link Robot Arm Using Piezoelectric Actuators and Sensors,' J. of the KSPE, Vol. 17, No. 11, pp.206-212, 2000
  13. Mark, W. Spong and M., Vidyasagar, 'Robot Dynamics and Control,' John Wiley & Sons, Inc., 1989