| Citation: | DENG Xudong, CHEN Guojun, GUO Junxian. Application of surrogate optimization in rotor dynamics design[J]. Journal of Aerospace Power, 2025, 40（4）：20240356 doi: 10.13224/j.cnki.jasp.20240356
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The traditional method of rotor dynamics design is based on the criterion that the inherent mode of the blade avoids the aerodynamic excitation frequency. But, this method is difficult to minimize the hub dynamic loads. In order to explore methods of improvement, the application of Kriging surrogate optimization technology in rotor dynamics design was studied. According to GJB “helicopter rotor dynamics design requirements”, an optimization model with the goal of minimizing the hub dynamic loads and the constraint of natural frequencies interval was constructed. Based on expected improvement (EI) method, a parallel infill strategy was proposed by using Pareto solutions which can avoid local concentration of training samples. The dynamic optimization design of an experimental rotor was carried out, and the optimal distribution of blade section stiffness and density was obtained. The results showed that, the hub dynamic load was reduced by 36% compared with the initial value, and the blade fatigue loads were also reduced.
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