Tidal turbine systems‐based permanent magnet synchronous generator (PMSG) has been largely investigated due to their higher efficiency, predictability, and high‐power density. However, parameter uncertainties and external disturbances make the controller design a challenging work. This study suggests a new adaptive fuzzy linear feedback passivity‐based backstepping control to solve the robustness problems faced by the conventional proportional‐integral (PI) controls in the machine‐side converter (MSC). The proposed controller design uses an energy‐based approach; therefore, its dependence on the system parameters is extremely reduced and avoids the cancellation of nonlinearities of the system. Then, the dynamic response is fast and efficient, and the asymptotic stability and the robustness of the conversion system are improved. The main objectives are the extraction of the maximum tidal power, feeding the electrical grid with only the active power, and regulating the DC voltage and the reactive power toward their references, whatever the disturbances caused by the PMSG behavior. The control strategy is tested under parameter variations, and the performances are compared to the conventional PI strategy. Numerical investigation under MATLAB/Simulink environment demonstrates that the proposed control solution provides a higher efficiency and robustness under parameter variations over conventional PI approach.

中文翻译：

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基于无源性的智能反步法可优化并网永磁同步发电机潮汐转换系统的控制

基于潮汐涡轮系统的永磁同步发电机（PMSG）具有较高的效率，可预测性和高功率密度，因此已经得到了广泛的研究。但是，参数的不确定性和外部干扰使控制器设计成为一项艰巨的任务。这项研究提出了一种新的基于自适应模糊线性反馈无源性的反推控制，以解决机器侧转换器（MSC）中常规比例积分（PI）控制所面临的鲁棒性问题。拟议的控制器设计采用基于能量的方法。因此，极大地降低了其对系统参数的依赖性，并避免了系统非线性的消除。然后，动态响应快速有效，并提高了转换系统的渐近稳定性和鲁棒性。主要目标是提取最大潮汐功率，仅向电网提供有功功率，并调节直流电压和无功功率使其达到参考值，而不受PMSG行为造成的干扰。在参数变化下测试控制策略，并将性能与常规PI策略进行比较。在MATLAB / Simulink环境下进行的数值研究表明，与常规PI方法相比，所提出的控制解决方案在参数变化的情况下具有更高的效率和鲁棒性。在参数变化下测试控制策略，并将性能与常规PI策略进行比较。在MATLAB / Simulink环境下进行的数值研究表明，与常规PI方法相比，所提出的控制解决方案在参数变化的情况下具有更高的效率和鲁棒性。在参数变化下测试控制策略，并将性能与常规PI策略进行比较。在MATLAB / Simulink环境下进行的数值研究表明，与常规PI方法相比，所提出的控制解决方案在参数变化的情况下具有更高的效率和鲁棒性。