Numerical analysis of feedforward position control for non-pulley musculoskeletal system: A case study of muscular arrangements of a two-link planar system with six muscles

Hitoshi Kino, Shiro Kikuchi, Yuki Matsutani, Kenji Tahara, Takahiro Nishiyama

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

In a musculoskeletal system like a tendon-driven robot, redundant actuation is necessary because muscles (or mechanical parts such as tendons) can transmit tension only unidirectionally. This redundancy yields internal force among muscles, which has a particular field of potential energy. Using internal force as a feedforward input, a musculoskeletal system can achieve feedforward position control with no sensory feedback. This paper studies the feedforward position control coming from the redundancy for a non-pulley musculoskeletal system. Targeting a planar two-link system with six muscles as a case study, the motion convergence depending on the muscular arrangement is examined quasi-statically. The results point out that the convergence is extremely sensitive to the muscular arrangement, and adding small offsets for the muscular connected points can remarkably improve the positioning performance.

Original languageEnglish
Pages (from-to)1235-1248
Number of pages14
JournalAdvanced Robotics
Volume27
Issue number16
DOIs
Publication statusPublished - Aug 21 2013

Fingerprint

Musculoskeletal system
Feedforward control
Position control
Muscle
Numerical analysis
Tendons
Redundancy
Sensory feedback
Potential energy
Robots

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications

Cite this

Numerical analysis of feedforward position control for non-pulley musculoskeletal system : A case study of muscular arrangements of a two-link planar system with six muscles. / Kino, Hitoshi; Kikuchi, Shiro; Matsutani, Yuki; Tahara, Kenji; Nishiyama, Takahiro.

In: Advanced Robotics, Vol. 27, No. 16, 21.08.2013, p. 1235-1248.

Research output: Contribution to journalArticle

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