Paper
28 February 2024 Simulation and research of double motor anti-backlash technology based on fuzzy control
Xiulian Wang, Hongjian Wang
Author Affiliations +
Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130711S (2024) https://doi.org/10.1117/12.3025459
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China
Abstract
With the development of science and technology, people have higher and higher requirements for the stability of high-precision servo systems. In this paper, the principle of dual-motor anti-backlash is studied. By modeling the mathematical characteristics of the whole servo system, the drive control block diagram of the dual-motor is designed. Finally, the servo system model of the dual-motor anti-backlash transmission is established by MATLAB. Based on the servo system model, the control algorithm of the system is designed, and the fuzzy-PID control algorithm is designed in the position loop. According to the threshold of the system, a more suitable control algorithm is selected to improve the stability and robustness of the system. A new anti-backlash method for improving the constant bias torque is designed, and the model of the anti-backlash module is designed. Finally, through simulation verification, it is concluded that the fuzzy-PID control strategy can effectively reduce the overshoot of the system, and the added anti-backlash module significantly improves the stability of the system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiulian Wang and Hongjian Wang "Simulation and research of double motor anti-backlash technology based on fuzzy control", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130711S (28 February 2024); https://doi.org/10.1117/12.3025459
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KEYWORDS
Control systems

Fuzzy logic

Servomechanisms

Mathematical modeling

Picosecond phenomena

Systems modeling

Complex systems

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