Rotational Angle Trajectory Tracking of a Twisted Polymeric Fiber Actuator by the Combination of a Model-Based Feed-Forward and Estimated Temperature Feedback

Ryo Hayashi, Ken Masuya, Kentaro Takagi, Toshihira Irisawa, Rui Fujino, Takuma Yamauchi, Eitaro Tanaka, Kenji Tahara

研究成果: ジャーナルへの寄稿記事


In this letter, an angular trajectory tracking controller for a twisted polymeric fiber (TPF) actuator by the combination of a model-based feed-forward and estimated temperature feedback is proposed. TPF actuator is one of the soft actuators that can produce a rotational motion, which is made by twisting a nylon yarn and thermally treating it. Adding a feed-forward controller with a feedback controller makes it possible to reduce a phase lag and realizes a higher frequency response compared with using only the feedback controller when performing a time-dependent trajectory tracking. First, temperature-angle, resistance-temperature, and voltage-temperature models are composed, respectively, and then combined in order to design a feedforward controller. Next, parameter estimation is performed through experiments using the prototype of a rotational actuation module. Finally, trajectory-tracking experiments are conducted using a prototype to demonstrate that the proposed method can improve the tracking performance by reducing the phase lag.

ジャーナルIEEE Robotics and Automation Letters
出版物ステータス出版済み - 7 1 2019


All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Biomedical Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition