Browsing by Keyword "Dynamic modeling"
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Item Dynamic modeling and identification of Par4, a very high speed parallel manipulator(2006) Nabat, Vincent; Company, Olivier; Pierrot, François; Poignet, Philippe; Tecnalia Research & InnovationThis paper introduces the dynamic modeling and the identification of Par4, a four-degree-of-freedom parallel manipulator producing Schonflies motions (three translations and one rotation about a fixed axis). First of all, this paper presents how this robot is developed with the goal of reaching very high speed. Indeed, it is an evolution of Delta, H4 and I4 robots architectures: it keeps their advantages while overcoming their drawbacks. Experimentations done with the prototype prove that the robot is able to reach very high accelerations (15 G) and to perform an Adept cycle in 0.25 s. In order to improve its dynamic accuracy, a dynamic control could be necessary. Thus, this paper presents the dynamic modeling of the manipulator using a simplified Newton-Euler approach. The originality of this computation is to model the traveling as two separated parts and to determine the dynamic effects applied on each of them. Finally, since a dynamic control requires a good evaluation of dynamic parameters, an experimental dynamic identification is presented.Item Kinematic and dynamic modeling of a multifunctional rehabilitation robot UHP(Springer Netherlands, 2018) Mancisidor, A.; Zubizarreta, A.; Cabanes, I.; Bengoa, P.; Jung, J. H.; Hofbaur, Michael; Husty, Manfred; Medical TechnologiesThe design of a suitable controller that handles robot-human interaction is one of the critical tasks in rehabilitation robotics. For this purpose, an accurate model of the robot is required. The Universal Haptic Pantograph (UHP) is a novel upper limb rehabilitation robot that can be configured to perform arm or wrist exercises. This work is focused on the latter, solving the kinematic model by the use of the closure loop equations, while Lagrangian formulation is used to estimate the interaction force. In order to prove the effectiveness of the model, several experimental tests are carried out. Results demonstrate that the mean motion error is less than 1 mm, and the estimated force error less than 10%.