Paper
25 October 2023 Optimization strategy for control parameters of a certain rotating system
Jianxiang Wang, Minghao Gao, Gaoling Song, Xintai Ma
Author Affiliations +
Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128015U (2023) https://doi.org/10.1117/12.3007328
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China
Abstract
This paper takes a certain type of rotating system as the research object. First, the system model is established by mathematical analysis, then the control law of proportional advance correction network is designed by traditional frequency analysis method, and the theoretical initial parameters of the system are determined. Then, by setting evaluation indicators and gradually narrowing the search range, iterative simulation was conducted on parameters within a certain range of initial parameters, and the optimized control parameters of the system were obtained. Finally, the control accuracy under this set of parameters was verified through physical verification, demonstrating the correctness of the control parameter optimization strategy proposed in this paper.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jianxiang Wang, Minghao Gao, Gaoling Song, and Xintai Ma "Optimization strategy for control parameters of a certain rotating system", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128015U (25 October 2023); https://doi.org/10.1117/12.3007328
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KEYWORDS
Control systems

Design and modelling

Digital signal processing

Mathematical modeling

Mathematical optimization

Sensors

Computing systems

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