Anti-Offset Multicoil Underwater Wireless Power Transfer Based on a BP Neural Network

• Published in: Machines (Basel) Vol. 12; no. 4; p. 275
• Main Authors: Fu, You, Tang, Haodong, Luo, Jianan, Peng, Zhouhua
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-04-2024
• Subjects: Autonomous underwater vehicles; Back propagation networks; Battery chargers; BP neural network; Coils (windings); Design; Efficiency; Electric fields; Electricity distribution; Electrodes; Electromagnetism; Energy transfer; Magnetic fields; Military applications; Misalignment; multiple transfer coil wireless power transfer; Network control; Neural networks; nonsingular terminal sliding mode control; Ocean currents; Radiation; Remote submersibles; Robustness; Robustness (mathematics); Seawater; Simulation; Sliding mode control; Technology application; Underwater pipelines; Underwater robots; Wireless power transmission
• ISSN: 2075-1702; 2075-1702
• DOI: 10.3390/machines12040275

Autonomous underwater vehicles (AUVs) are now widely used in both civilian and military applications; however, wireless charging underwater often faces difficulties such as disturbances from ocean currents and errors in device positioning, making proper alignment of the charging devices challenging. Misalignment between the primary and secondary coils can significantly impact the efficiency and power of the wireless charging system energy transfer. To address the issue of misalignment in wireless charging systems, this paper proposes a multiple transfer coil wireless power transfer (MTCWPT) system based on backpropagation (BP) neural network control combined with nonsingular terminal sliding mode control (NTSMC) to enhance further the system robustness and efficiency. To achieve WPT in the ocean, a coil shielding case structure was equipped. In displacement experiments, the proposed multi-transmitting coil system could achieve stable power transfer of 40 W and efficiency of over 78.5% within a displacement range of 8 cm. The system robustness was also validated. This paper presents a new AUV energy supply solution based on MTCWPT. The proposed MTCWPT system can significantly improve the navigation performance of AUVs.