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Conference Papers Year : 2019

Dynamically Closed-Loop Controlled Soft Robotic Arm using a Reduced Order Finite Element Model with State Observer

Abstract

This paper presents a computationally efficient method to model and simulate soft robots. Finite element methods enable us to simulate and control soft robots, but require us to work with a large dimensional system. This limits their use in real-time simulation and makes those methods less suitable for control design tools. Using model order reduction, it is possible to create a reduced order system for building controllers and observers. Model reduction errors are taken into account in the design of the low-order feedback, and it is then applied to the large dimensional, unreduced model. The control architecture is based on a linearized model of the robot and enables the control of the robot around this equilibrium point. To show the performance of this control method, pose-to-pose and trajectory tracking experiments are conducted on a pneumatically actuated soft arm. The soft arm has 12 independent interior cavities that can be pressurized and cause the arm to move in three dimensions. The arm is made of a rubber material and is casted through a lost-wax fabrication technique.

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Dates and versions

hal-02078809 , version 1 (25-03-2019)

Identifiers

  • HAL Id : hal-02078809 , version 1

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Robert K Katzschmann, Maxime Thieffry, Olivier Goury, Alexandre Kruszewski, Thierry-Marie Guerra, et al.. Dynamically Closed-Loop Controlled Soft Robotic Arm using a Reduced Order Finite Element Model with State Observer. IEEE 2019 International Conference on Soft Robotics, Apr 2019, Séoul, South Korea. pp.717-724. ⟨hal-02078809⟩
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