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On the Experiment Design for Direct Dynamic Parameter Identification of Parallel Robots

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Abstract:

Accurate robot dynamic models require the estimation and validation of the dynamic parameters through experiments. To this end, when performing the experiments, the system has to be properly excited so that the unknown parameters can be accurately estimated. The experiment design basically consists of optimizing the trajectory executed by the robot during the experiment. Due to the restricted workspace with parallel robots this task is more challenging than for serial robots; thus, this paper is focused on the experiment design aimed at dynamic parameter identification of parallel robots. Moreover, a multicriteria algorithm is proposed in order to reduce the deficiencies derived from the single-criterion optimization. The results of the identification using trajectories based on a single criterion and the multicriteria approaches are compared, showing that the proposed optimization can be considered as a suitable procedure for designing exciting trajectories for parameter identification.

Keywords: DYNAMIC PARAMETER IDENTIFICATION; EXCITING TRAJECTORIES; MULTICRITERIA OPTIMIZATION; PARALLEL ROBOTS

Document Type: Research Article

DOI: https://doi.org/10.1163/156855308X397550

Affiliations: 1: Departamento de Tecnología y Diseño, Universidad de los Andes, 5101a, Núcleo La Hechicera, Mérida, Venezuela 2: Departamento de Ingeniería Mecánica, Energética y de Materiales, Universidad Pública de Navarra, 31006 Campus Arrosadia, Pamplona, Spain 3: Departamento de Mecánica y Materiales, Universidad Politécnica de Valencia, 46022, Camino de Vera, Valencia, Spain

Publication date: 2009-01-01

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