Dynamically Closed-Loop Controlled Soft Robotic Arm using a Reduced Order Finite Element Model with State Observer
Author(s)
Katzschmann, Robert K.; Thieffry, Maxime; Goury, Olivier; Kruszewski, Alexandre; Guerra, Thierry-Marie; Duriez, Christian; Rus, Daniela; ... Show more Show less
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© 2019 IEEE. 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.
Date issued
2019-04Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
IEEE
Citation
Katzschmann, Robert K., Thieffry, Maxime, Goury, Olivier, Kruszewski, Alexandre, Guerra, Thierry-Marie et al. 2019. "Dynamically Closed-Loop Controlled Soft Robotic Arm using a Reduced Order Finite Element Model with State Observer."
Version: Author's final manuscript