Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

April 28, 2023


Pages


DOI

Article

Dynamic Optimization of Robot Automatic Control System Based on Differential Algebraic Equations

Check for updates


Authors

Shulei Wang Affiliation:
School of Automotive Engineering, Changzhou Institute of Technology, Changzhou, 213032, China
and Shiting Lu Affiliation:
School of Automotive Engineering, Changzhou Institute of Technology, Changzhou, 213032, China


Abstract

In order to understand the different performances of robots under different control systems, the author has carried out dynamic optimization research on the control system of robots combined with differential algebraic equations. In this study, the general form of the discrete differential-algebraic equation (DAE) optimization problem using the Orthogonal Configuration of Finite Element (OCFE) method is deeply analyzed, and the equivalent conditions of the direct discrete scheme and the indirect discrete scheme are obtained through rigorous proof. On this basis, a variety of common configuration methods are simulated and analyzed, and it is found that indirect Lobatto configuration can achieve better results in many aspects. The results show that the discrete algorithm using differential algebraic equations can effectively achieve dynamic optimization of the control system, thus achieving the author’s research purpose.


Keywords

Differential algebraic equation, robot, automatic control system, dynamic optimization, 34A09


Citation

Wang, S. & Lu, S. (2023). Dynamic optimization of robot automatic control system based on differential algebraic equations. Applied Mathematics and Nonlinear Sciences, 8(1). https://doi.org/10.2478/amns.2023.1.00027

Published by: Engineering Journals

Engineering Journals Logo