Paper
19 October 2023 Multi-motor lifting synchronous control method based on digital twin
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Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127096B (2023) https://doi.org/10.1117/12.2684586
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China
Abstract
Aiming at the problem of poor position synchronization accuracy in the process of multi-motor lifting, a multi-motor lifting synchronization control method based on digital twin is proposed. Firstly, a four-column multi-motor synchronous lifting digital twin of heavy-duty stacker with high stability and security is established to realize virtual and real time synchronous mapping between physical entity and digital twin. Then, an improved Seagull optimization algorithm (ISOA) is proposed to optimize the quantization factor and scale factor of fuzzy PID controller to realize the adaptive stable synchronous control of multi-motor lifting mechanism. Finally, through simulation analysis and engineering project practice, the reliability of the design of four-column multi-motor lifting heavy-duty stacker and the effectiveness of the multi-motor synchronous control method based on digital twin are proved.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Li, Yong Wang, Hui Xu, Jiansong Shao, Zerui Liu, Aiyi Ma, Jiangfeng Chen, and He Jiang "Multi-motor lifting synchronous control method based on digital twin", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127096B (19 October 2023); https://doi.org/10.1117/12.2684586
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KEYWORDS
Fuzzy logic

Mathematical optimization

Control systems

Reliability

Data modeling

Mathematical modeling

Performance modeling

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