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Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control.

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Area of Science:

  • Robotics
  • Materials Science
  • Control Systems Engineering

Background:

  • Soft pneumatic actuators offer advantages over rigid designs but lack efficient models and control.
  • Existing systems often require bulky valves and extensive hardware, limiting their practical application.
  • The reverse pneumatic artificial muscle (rPAM) presents a novel, inexpensive soft linear actuator solution.

Purpose of the Study:

  • To develop and validate comprehensive analytical and numerical models for the rPAM.
  • To investigate the application of rPAMs in controlling kinematic structures, specifically a revolute joint.
  • To design and test advanced control schemes for precise rPAM operation using miniature valves.

Main Methods:

  • Development of analytical and numerical static models for the rPAM, validated against experimental data.
  • Derivation of an analytical model for a single-degree-of-freedom revolute joint driven by antagonistic rPAMs.
  • Implementation and testing of a sliding-mode controller and an augmented sliding-mode controller with feed-forward for solenoid valve modulation.

Main Results:

  • Analytical and numerical models accurately predict rPAM static behavior, aligning with experimental findings.
  • The derived analytical model effectively predicts the static joint angle based on input pressures.
  • Both proposed controllers demonstrated effective operation, with the feed-forward augmented controller showing superior performance in dynamic trajectory tracking.

Conclusions:

  • The rPAM is a viable and reliable soft actuator with accurate modeling capabilities.
  • The developed analytical models facilitate the design and control of soft robotic systems incorporating rPAMs.
  • Advanced control strategies, particularly with feed-forward compensation, enable precise dynamic control of rPAM-driven mechanisms.