Abstract

This paper studies the kinematic dynamic simulation modeling of industrial robots in the Industry 4.0 environment and guides the kinematic dynamic simulation modeling of industrial robots in the Industry 4.0 environment in the context of the research. To address the problem that each parameter error has different degrees of influence on the end position error, a method is proposed to calculate the influence weight of each parameter error on the end position error based on the MD-H error model. The error model is established based on the MD-H method and the principle of differential transformation, and then the function of uniform variation of six joint angles with time t is constructed to ensure that each linkage geometric parameter is involved in the motion causing error accumulation. Through the analysis of the robot marking process, the inverse solution is optimized for multiple solutions, and a unique engineering solution is obtained. Linear interpolation, parabolic interpolation, polynomial interpolation, and spline curve interpolation are performed on the results after multisolution optimization in the joint angle, and the pros and cons of various interpolation results are analyzed. The trajectory planning and simulation of industrial robots in the Industry 4.0 environment are carried out by using a special toolbox. The advantages and disadvantages of the two planning methods are compared, and the joint space trajectory planning method is selected to study the planning of its third and fifth polynomials. The kinetic characteristics of the robot were simulated and tested by experimental methods, and the reliability of the simulation results of the kinetic characteristics was verified. The kinematic solutions of industrial robots and the results of multisolution optimization are simulated. The methods, theories, and strategies studied in this paper are slightly modified to provide theoretical and practical support for another dynamic simulation modeling of industrial robot kinematics with various geometries.

Highlights

  • In many countries around the world, courses in industrial robotics have been offered at the undergraduate and graduate levels to improve the level of research in industrial robotics

  • A mathematical model of the kinematics and dynamics of an industrial robot in an Industry 4.0 environment is established based on the theory of industrial robotics, and the correctness of the kinematic mathematical model is verified by using MATLAB software simulation. e kinematic simulation and excitation characteristics of the industrial robot in the Industry 4.0 environment are studied by computer modeling and simulation techniques

  • The kinematic mathematical model of the industrial robot in the Industry 4.0 environment is established by using the chi-square transformation method and MD-H coordinate method, and the forward and inverse kinematic operations are performed to lay the theoretical foundation for the kinematic simulation analysis. en, MATLAB was used to simulate the kinematics of the industrial robot, and the simulation results were verified with the kinematic mathematical model

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Summary

Introduction

In many countries around the world, courses in industrial robotics have been offered at the undergraduate and graduate levels to improve the level of research in industrial robotics. The development and manufacturing process of industrial robots was often conceptual design followed by actual production prototypes, testing of prototypes, and continuous modification and testing until the design requirements were met, which took a long time and increased production costs and could not meet the current production requirements [2] In this situation and to achieve industrial development needs to improve product quality, shorten the research and development cycle, reduce research and development costs, and increase the technical content of various requirements.

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