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Dual Control for Jerk-Driven Robotics in Rehabilitative Planar Applications.
Aggogeri, Francesco; Amici, Cinzia; Pellegrini, Nicola.
Afiliación
  • Aggogeri F; Department of Mechanical and Industrial Engineering, University of Brescia, via Branze, 38, 25123 Brescia, Italy.
  • Amici C; Department of Mechanical and Industrial Engineering, University of Brescia, via Branze, 38, 25123 Brescia, Italy.
  • Pellegrini N; Department of Mechanical and Industrial Engineering, University of Brescia, via Branze, 38, 25123 Brescia, Italy.
Micromachines (Basel) ; 11(2)2020 Jan 28.
Article en En | MEDLINE | ID: mdl-32012809
This study compares a set of strategies to plan and control the trajectory of a robotic device in a planar workspace. These strategies are based on an affective application of jerk-laws able to indicate undesirable conditions (e.g., vibrations) facilitating the device control. The jerk is the time derivative of acceleration, and this solution provides an indirect means to control the variation rate of the actuator torques, while avoiding the complex robot dynamic models and their algorithms for computing the dynamics. In order to obtain a smooth trajectory, a regulator to control a robotic device has been developed and validated. It consists of the implementation of two control modules able to i) generate the predefined trajectory and ii) guarantee the path tracking, reducing unwanted effects. In this case a simple S-shaped path has been originated by the "trajectory generator module" as a reference movement to rehabilitate upper limb functionality. The numerical simulation and the results of preliminary tests show the efficacy of the proposed approach through the vibration smoothness appraisal associated with the motion profile.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Micromachines (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Micromachines (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza