Abstract This article proposes a novel adaptive control scheme based on proportional-integral (PI) controllers and new adaptive filtering algorithm called the least mean square root of exponential (LMSRE) algorithm. Firstly, the proposed LMSRE algorithm is applied to unknown system identification then it is compared with other benchmarks algorithms such as least mean square (LMS), least mean fourth (LMF), and continuous mixed p-norm (CMPN). Secondly, the LMSRE is applied to self-tune the parameters of the cascaded PI controllers to improve the maximum power point tracking (MPPT) and fault ride-through ability (FRTA) of grid-integrated permanent magnet synchronous generator (PMSG) based wind turbines. Then, the robustness of LMSRE-PI and LMS-PI controllers are tested under real measured wind speed data and severe fault conditions. The simulation results revealed that the LMSRE-PI achieved better dynamic and transient responses than the LMS-PI controllers. With the proposed control scheme, the performance of variable speed wind turbines can be further enhanced.

中文翻译：

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一种新型的基于 LMSRE 的自适应 PI 控制方案，用于并网 PMSG 变速风力发电机组

摘要 本文提出了一种基于比例积分 (PI) 控制器和称为最小均方根指数 (LMSRE) 算法的新型自适应滤波算法的新型自适应控制方案。首先，将所提出的LMSRE算法应用于未知系统识别，然后将其与其他基准算法，如最小均方(LMS)、最小平均四分法(LMF)和连续混合p-范数(CMPN)进行比较。其次，应用 LMSRE 自整定级联 PI 控制器的参数，以提高基于并网永磁同步发电机 (PMSG) 的风力涡轮机的最大功率点跟踪 (MPPT) 和故障穿越能力 (FRTA) . 然后，在实测风速数据和严重故障条件下测试 LMSRE-PI 和 LMS-PI 控制器的鲁棒性。仿真结果表明，LMSRE-PI 比 LMS-PI 控制器实现了更好的动态和瞬态响应。通过提出的控制方案，可以进一步提高变速风力涡轮机的性能。