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이족보행로봇의 동적 거동에 관한 연구

A Study on Dynamic Motion of Biped Walking Robot

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초록

The calculation of the optimal trajectory of the stepped top-down robot was made using a genetic algorithm and a computational torque controller. First, the total energy efficiency was minimized using the Red-Cold Generic Algorithm (RCGA) consisting of reproductive, cross, and mutation. The reproducibility condition related to the position assembly of the start and end of the stride and the joints, angles, and angular velocities are linear constraints. Next, the unequal constraint accompanies the condition for preventing the collision of the swing leg at the corner with the outer surface of the stairs, the condition of the knee joint for preventing kinematic peculiarity, and the condition of no moment in safety in the traveling direction. Finally, the angular trajectory of each joint is defined by fourth-order polynomial whose coefficient is to approximate chromosomes. This is to approximate walking. In this study, the energy efficiency of the optimal trajectory was analyzed by computer simulation through a biped robot with seven degrees of freedom composed of seven links.

Abstract

The calculation of the optimal trajectory of the stepped top-down robot was made using a genetic algorithm and a computational torque controller. First, the total energy efficiency was minimized using the Red-Cold Generic Algorithm (RCGA) consisting of reproductive, cross, and mutation. The reproducibility condition related to the position assembly of the start and end of the stride and the joints, angles, and angular velocities are linear constraints. Next, the unequal constraint accompanies the condition for preventing the collision of the swing leg at the corner with the outer surface of the stairs, the condition of the knee joint for preventing kinematic peculiarity, and the condition of no moment in safety in the traveling direction. Finally, the angular trajectory of each joint is defined by fourth-order polynomial whose coefficient is to approximate chromosomes. This is to approximate walking. In this study, the energy efficiency of the optimal trajectory was analyzed by computer simulation through a biped robot with seven degrees of freedom composed of seven links.

참고문헌 (11)

  1. J. H. Park, "Biped Robot Waking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control", Proc. Int. Conf. on Robotics and Automation, pp.3528~3533 (1998)
  2. S. H. Choi, "Optimal Walking Trajectory Generation for a Biped Robot Using Genetic Algorithm", Proc. Int. Conf. on Intelligent Robots and Systems, pp.1456~1461 (1999)
  3. M. Y. Cheng, "Genetic Algorithm for Control Design of Biped Locomotion", IEEE, pp.1315~1320 (1995)
  4. J. H. Park, "Generation of An Optimal Gait Trajectory for Biped Robots Using A Genetic Algorithm", JSME International Journal (2004)
  5. C. Chevallereau, "Low Energy Cost Reference Trajectories for a Biped Robot", Proc. Int. Conf. on Robotics and Automation, pp.1398~1404 (1998)
  6. C. L. Shih, "Ascending and Descending Stairs for a Biped Robot", IEEE Transactions on Systems, Man, and Cybernetics-Part A : Systems and Humans, 29(3), pp.255~268 (1999)
  7. K. S. Jeon, "Energy Optimization of a Biped Robot for Walking a Staircase Using Genetic Algorithms", Proc. Int. Conf. on Control, Automation and Systems, pp.215~219 (2003)
  8. S. Tzafestas, "Robust Sliding-mode Control Applied to a 5-Link Biped Robot", Journal of Intelligent and Robotic Systems, 15, pp.67~133 (1996)
  9. J. Furusho, "Sensor-based control of a nine-link biped", Int. J. of Robotics Research, 9(2), pp.83~98 (1990)
  10. D. E. Goldberg, "Genetic Algorithm in Search, Optimization, and Machine Learning" (1989), Addison Wesley
  11. G. G. Jin, "Genetic Algorithms and Their Applications" (2002), Kyo Woo Sa

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