6 DOF articulated-arm robot and mobile platform: Dynamic modelling as Multibody System and its validation via Experimental Modal Analysis.

4th International Conference on Mechanical Engineering Research

Fuentes, A Toledo^1 ; Kipfmueller, M.^1 ; Prieto, M.A. José^2

Institute of Materials and Processes, University of Applied Science, Karlsruhe

76131, Germany^1

Department of Electrical Engineering, University of Oviedo, Gijón

33203, Spain^2

关键词: Control strategies;    Dynamical parameters;    Experimental modal analysis;    Industrial processs;    Mobile manipulator;    Multibody simulations;    Quantitative and qualitative analysis;    Stabilization mechanisms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/257/1/012008/pdf
DOI  :  10.1088/1757-899X/257/1/012008

来源: IOP

【 摘 要 】

Mobile manipulators are becoming a key instrument to increase the flexibility in industrial processes. Some of their requirements include handling of objects with different weights and sizes and their "fast" transportation, without jeopardizing production workers and machines. The compensation of forces affecting the system dynamic is therefore needed to avoid unwanted oscillations and tilting by sudden accelerations and decelerations. One general solution may be the implementation of external positioning elements to active stabilize the system. To accomplish the approach, the dynamic behavior of a robotic arm and a mobile platform was investigated to develop the stabilization mechanism using multibody simulations. The methodology used was divided into two phases for each subsystem: their natural frequencies and modal shapes were obtained using experimental modal analyses. Then, based on these experimental results, multibody simulation models (MBS) were set up and its dynamical parameters adjusted. Their modal shapes together with their obtained natural frequencies allowed a quantitative and qualitative analysis. In summary, the MBS models were successfully validated with the real subsystems, with a maximal percentage error of 15%. These models will serve as the basis for future steps in the design of the external actuators and its control strategy using a co-simulation tool.