基于非线性混沌哈里斯鹰优化整定广义幂指数趋近律终端滑模控制的旋转式风力机变桨控制

The present work proposes a state-of-the-art terminal sliding mode control (TSMC) strategy for blade pitch control to mitigate the cyclic aerodynamics load and rated power, considering a 63 m blade horizontal axis wind turbine (HAWT) comprising rotary electrohydraulic actuation. This TSMC has been designed using a generalized power exponential rate reaching law, termed as GPERRL-TSMC. The work has employed blade element momentum theory for modeling system dynamics. It has been conclusively proven that the proposed GPERRL-TSMC can achieve simultaneous enhancement in transient performance as well as reduce the detrimental effect of chattering. This controller design is at first further enhanced by optimizing its free parameters using Harris Hawks optimization (HHO), termed as HHO-GPERRL-TSMC. Then a further enhancement of this GPERRL-TSMC design is proposed using a recent variation of HHO, termed here NCM-HHO, i. e. a nonlinear-based chaotic HHO that includes a mutation mechanism to refine the controller design. This NCM-HHO based GPERRL-TSMC is termed here as NCM-HHO-GPERRL-TSMC, Extensive performance evaluations have been carried out to demonstrate that all three variants of GPERRL-TSMC proposed in this work could sufficiently outperform contemporary GPERRL-SMC, for a variety of wind profiles, with NCM-HHO-GPERRL-TSMC consistently showing the best performance. The proposed GPERRL-TSMC, HHO-GPERRL-TSMC, and NCM-HHO-GPERRL-TSMC could achieve a reduction in integral time absolute error of 15.16%, 26.74%, and 30.23% respectively and a reduction in control energy of 64.71%, 72.66%, and 77.85% respectively, with respect to the contemporary reported GPERRL-SMC.