随着全球能源结构转型的推进,海上风电作为可再生能源的关键组成部分,其高效运维显得尤为重要。为解决传统海上风电巡检依靠人工和单介质无人机面临的效率低下和安全隐患的挑战,本项目提出了一种基于跨介质自适应切换技术的空海无人机推进系统,旨在提高海上风电巡检无人机在水面和空中之间的切换稳定性和切换效率。采用自适应控制算法,系统可以实时感知环境变化并调整工作模式,以优化能耗并提高运行稳定性。实验结果表明,该系统在不同环境条件下表现出良好的适应性和可靠性,为海上风电智能巡检提供了新的解决方案。With the global transition to renewable energy, offshore wind power, as a crucial component of the renewable energy mix, has highlighted the importance of efficient operation and maintenance. To address the challenges of traditional offshore wind turbine inspections, which rely on manual labor and single-medium drones, this project proposes an adaptive cross-medium switching propulsion system for aerial and aquatic drones. The system aims to enhance the stability and efficiency of switching between air and water during offshore wind farm inspections. By employing an adaptive control algorithm, the system can dynamically sense environmental changes and adjust its operational mode, optimizing energy consumption and improving operational stability. Experimental results demonstrate that the system exhibits excellent adaptability and reliability under various environmental conditions, offering a novel solution for intelligent offshore wind farm inspection.
