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Proceedings Paper

Study of PID neural network control based on phase-shifted full-bridge CPT system
Author(s): Lihong He; Yingying Guo; Guangyan Sun
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Paper Abstract

Since the CPT system is a complex higher-order nonlinear system, it is very difficult to meet the control requirements if the traditional control method is used to control the stability of the system. In this paper, a performance simulation study is performed by introducing the PID neural network controller into the Phase-Shifted Full-Bridge CPT system. Compared with the control effects of traditional PID controllers, the PID neural network controllers have better dynamic responses and more robustness under load rapid changes and input step disturbances.

Paper Details

Date Published: 29 October 2011
PDF: 5 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 820517 (29 October 2011); doi: 10.1117/12.906147
Show Author Affiliations
Lihong He, Northeastern Univ. (China)
Yingying Guo, Northeastern Univ. (China)
Guangyan Sun, Shenyang Institute of Engineering (China)


Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization
Egui Zhu, Editor(s)

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