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LI Hao, QIAN Linjun, LI Shenghong, WANG Feng, LI Zhiqiang. Maximum efficiency tracking and wide power regulation composite control method for underwater MC-WPT system[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0065
Citation: LI Hao, QIAN Linjun, LI Shenghong, WANG Feng, LI Zhiqiang. Maximum efficiency tracking and wide power regulation composite control method for underwater MC-WPT system[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0065

Maximum efficiency tracking and wide power regulation composite control method for underwater MC-WPT system

doi: 10.11993/j.issn.2096-3920.2025-0065
  • Received Date: 2025-05-16
  • Accepted Date: 2025-07-04
  • Rev Recd Date: 2025-06-20
  • Available Online: 2025-09-26
  • Addressing the requirements of maximum efficiency transmission and varying power output for underwater unmanned vehicle wireless charging systems, a composite control method that can both achieve maximum efficiency tracking and adjust output power is proposed in this paper. Firstly, the influencing factors of transmission power and efficiency in underwater MC-WPT systems are analyzed. Focusing on the seawater medium environment, the issue of eddy current loss in the coupling mechanism needs to be considered. A joint simulation method of magnetic field and circuit is adopted to obtain the equivalent resistance of the coupling mechanism's eddy current, and the optimal load is calculated. Secondly, impedance matching is achieved by cascading Cuk converters at the receiving end to track maximum efficiency, while wide power range adjustment is realized by controlling the phase shift angle of the inverter at the transmitting end. In this composite control method, the efficiency and power control loops do not interfere with each other. Finally, a system simulation model was constructed, and an experimental prototype of the MC-WPT system was built. The correctness of the theoretical analysis and proposed methods in the paper was verified through simulation and experiment. The experimental results showed that after introducing the maximum efficiency tracking method, the optimal efficiency could be achieved under various load conditions. Taking the output of 2 kW and a load of 5 Ω as an example, the efficiency increased from 84.8% to 93.1%. In the experiment, when the input voltage varied, power output ranging from 1 kW to 3 kW was achieved at maximum efficiency by adjusting the phase shift angle. Both simulation and experiment demonstrate that the system can maintain high efficiency operation at all times and adjust the output power in real-time according to demand.

     

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