New Approach of the Variable Fractional-Order Model of a Robot Arm

Author:

Bąkała Marcin1ORCID,Duch Piotr1ORCID,Ostalczyk Piotr2

Affiliation:

1. The Institute of Applied Computer Science, Lodz University of Technology, 90-924 Lodz, Poland

2. Faculty of Electrical Engineering, The Institute of Control and Industrial Electronics, Warsaw University of Technology, 00-661 Warsaw, Poland

Abstract

This paper proposes a simple mathematical model based on the variable fractional-order difference equation of a robot arm. The model of the described arm does not consider the impact of the movement of the mobile platform, it was assumed that all degrees of freedom would be taken away from it. The implementation of the task was divided into two stages. First, a mechanical model was developed. In order to estimate the torques of nodal propulsion motors, a description of the components of the Lagrange equation for the considered system, i.e., energy, power, and external interactions, and derivation of the equations of motion of the tested manipulator based on the Lagrange equation was made. An additional criterion was also considered in the selection of drives in the kinematic nodes of the links, which was to set the manipulator in a vertical position at a specific time. Processing the measured data of a robot arm, model parameters were selected, and the order function was chosen. The second stage was a simulation, whose results were compared with the collected data.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference28 articles.

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3. Kilbas, A.A., Srivastava, H., and Trujillo, J.J. (2006). Theory and Applications of Fractional Differential Equations, Elsevier Science Inc.

4. Podlubny, I. (1999). An Introduction to Fractional Derivatives, Fractional Differential Equations, to Methods of Their Solution and Some of Their Applications, Academic Press.

5. Fractional order systems. Applications in modelling, identification, and control;Sabatier;J. Eur. Des. Systèmes Automatisés. RS Série JESA,2008

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