Vibration Suppression in Collaborative Flexible Payload Manipulation Using Passive Force Control
Organizations: VTT Technical Research Centre of Finland Ltd, Oulu, Finland · RP Technical University of Kaiserslautern, Germany · UK Atomic Energy Authority, Oxfordshire, England, United Kingdom · Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland
Abstract
In large and heavy structures, vibrations arise during motion, posing significant challenges for precise manipulation. To accomplish the desired motion, control algorithms must effectively suppress these structural vibrations. In cutting edge projects, such as remote maintenance of future fusion energy reactors (tokamaks), the manipulation of this type of structure is defined as a crucial task. This paper presents a control strategy to suppress transverse vibrations in flexible payloads during motion using a collaborative payload manipulation approach. Two different industrial robot arms are arranged in a leader follower configuration for the manipulation strategy. The leader robot guides the motion with shaped velocity commands, while the follower robot ensures compliance with the estimated external forces applied by the leader on the payload through an admittance controller. Unlike existing methods, the proposed approach enables collaborative manipulation of heavier and larger flexible objects, addressing additional challenges such as vibration suppression and heterogeneous robot specifications. The dynamics of the leader follower payload system are modeled using an equivalent mass spring damper model, and it is shown that, with appropriate admittance parameters, the total energy of the system is passively dissipated. A stability proof is also provided. Numerical simulations validate the proposed method, and experimental results demonstrate its effectiveness.
Figures & tables
| Case | Control type | Highest amp. [mm] | Settling time [s] | Amp. red. [%] |
|---|---|---|---|---|
| Simulation | None | 28.8 | 4.65 | – |
| Admittance | 15.6 | 3.57 | 45.8 | |
| Input-shaping | 16.5 | 3.57 | 42.7 | |
| Adm. + IS | 5.8 | 1.26 | 79.9 | |
| Experiment | None | 26.3 | 2.38 | – |
| Admittance | 11.4 | 1.37 | 56.7 |
Deformable Object Manipulation
Deformable Object Manipulation studies how robots perceive, model, and control flexible objects such as cloth, ropes, cables, and soft tissue.
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