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JACIII Vol.25 No.2 pp. 248-257
doi: 10.20965/jaciii.2021.p0248
(2021)

Paper:

Design and Implementation of the Universal Servo Control Algorithm Verification System Based on High-Speed Communication Fieldbus

Yonghua Xiong*,**, Ke Li*,**, Zhen-Tao Liu*,**,†, and Jinhua She*,**,***

*School of Automation, China University of Geosciences
No.388 Lumo Road, Wuhan, Hubei 430074, China

**Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
No.388 Lumo Road, Wuhan, Hubei 430074, China

***School of Engineering, Tokyo University of Technology
Katakura, Hachioji, Tokyo 192-0982, Japan

Corresponding author

Received:
November 28, 2020
Accepted:
January 14, 2021
Published:
March 20, 2021
Keywords:
servo experiment system, versatility, multifunction experiment device, TwinCAT 3
Abstract

In recent years, there have been several breakthroughs in the theoretical research of servo control algorithms. However most of these control algorithms remain in the simulation stage. They are difficult to be applied directly to practical platforms or complex industrial sites because of the lack of an experimental system suitable for the verification of their effectiveness. To address this problem, we designed a multi-function servo control algorithm verification experiment system (MVES) within the MATLAB/Simulink theoretical simulation model directly to communicate with the TwinCAT 3 PLC master program to perform different servo control experiments. The MVES supports various Simulink models. However, its and the operation is simple and convenient, which greatly reduces the workload of the algorithm test and has important practical value. Two sets of comparative experiments were used to verify the versatility and superiority of MVES.

System control data flow

System control data flow

Cite this article as:
Y. Xiong, K. Li, Z. Liu, and J. She, “Design and Implementation of the Universal Servo Control Algorithm Verification System Based on High-Speed Communication Fieldbus,” J. Adv. Comput. Intell. Intell. Inform., Vol.25 No.2, pp. 248-257, 2021.
Data files:
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