A novel LMSRE-based adaptive PI control scheme for grid-integrated PMSG-based variable-speed wind turbine

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.

Automated summary

This article introduces a novel adaptive control scheme using PI controllers and the new LMSRE algorithm. By applying the LMSRE algorithm for adaptive control, the performance of PMSG wind turbines can be enhanced, with better dynamic responses observed in real-world testing compared to traditional methods.