FIR filter-based online jerk-constrained trajectory generation - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Control Engineering Practice Année : 2017

FIR filter-based online jerk-constrained trajectory generation

Résumé

In the context of human-robot manipulation interaction for service or industrial robotics, the robot controller must be able to quickly react to unpredictable events in dynamic environments. In this paper, a FIR filter-based trajectory generation methodology is presented, combining the simplicity of the analytic second-order trajectory generation, i.e. acceleration-limited trajectory, with the flexibility and computational efficiency of FIR filtering, to generate on the fly smooth jerk-constrained trajectories. The proposed methodology can generate synchronized (fixed-time) and time-optimal jerk-limited trajectories from arbitrary initial velocity and acceleration conditions within 20 microsecond. Other jerk-constrained trajectories such as jerk-time fixed trajectories, which are particularly suitable for vibration reduction, can be easily generated. Experimental validations carried out on a seven axis Kuka LBR iiwa are presented.
Fichier principal
Vignette du fichier
LSIS_CEP_2017_BEAREE.pdf (3.37 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01575057 , version 1 (17-08-2017)

Identifiants

Citer

Pierre Besset, Richard Béarée. FIR filter-based online jerk-constrained trajectory generation. Control Engineering Practice, 2017, 66, pp.169-180. ⟨10.1016/j.conengprac.2017.06.015⟩. ⟨hal-01575057⟩
336 Consultations
3500 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More