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Smith-Predictor-Based Torque Control of a Rolling Diaphragm Hydrostatic Transmission
- Source :
- IEEE Robotics and Automation Letters, IEEE Robotics and Automation Letters, 2021, 6 (2), pp.2970-2977. ⟨10.1109/LRA.2021.3062310⟩, IEEE Robotics and Automation Letters, IEEE 2021, 6 (2), pp.2970-2977. ⟨10.1109/LRA.2021.3062310⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience; Rolling Diaphragm Hydrostatic Transmissions (RDHT) are high-performance low-cost solutions to delocalize heavy actuators away from the joints of robotic systems. Exploiting a low-cost pressure-based sensing technique, we propose here a Smith-predictorbased joint torque control of an RDHT-based actuation system. We also use a load-cell sensor for ground truth validation. The developed feedback controller is conveniently tuned based on an arbitrary pre-specified closed-loop natural frequency and damping ratio. This preserves the open-loop bandwidth while removing the intrinsic oscillations of the lightly damped highly transparent open-loop plant. Experimental tests validate the proposed control strategy, both in a stand-alone torque setpoint configuration and in a series of Human-Robot-Interaction tests confirming the significant advantages of the closed-loop control architecture.
- Subjects :
- 0209 industrial biotechnology
Damping ratio
Control and Optimization
Computer science
Biomedical Engineering
Diaphragm (mechanical device)
02 engineering and technology
torque control
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Setpoint
020901 industrial engineering & automation
0203 mechanical engineering
Artificial Intelligence
Control theory
Torque
smith predictor
rolling diaphragm
Mechanical Engineering
Bandwidth (signal processing)
actuator remotization
HRI
Hydrostatic transmission
Natural frequency
Computer Science Applications
Smith predictor
Human-Computer Interaction
020303 mechanical engineering & transports
Control and Systems Engineering
Computer Vision and Pattern Recognition
Actuator
Subjects
Details
- Language :
- English
- ISSN :
- 23773766
- Database :
- OpenAIRE
- Journal :
- IEEE Robotics and Automation Letters, IEEE Robotics and Automation Letters, 2021, 6 (2), pp.2970-2977. ⟨10.1109/LRA.2021.3062310⟩, IEEE Robotics and Automation Letters, IEEE 2021, 6 (2), pp.2970-2977. ⟨10.1109/LRA.2021.3062310⟩
- Accession number :
- edsair.doi.dedup.....65879057bfd2a1d56b142e7e726bc793
- Full Text :
- https://doi.org/10.1109/LRA.2021.3062310⟩