Identification of misalignment load of wind turbine rotor system based on improved trust region model management technology

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (1) : 74-80.

MAO Wengui, LI Jianhua, GUO Jie, ZHOU Zhou

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Abstract

In order to solve the time-consuming problem of misalignment load identification of wind power rotor system, an identification algorithm based on improved trust region model management technology is proposed. The method transforms the misalignment load identification problems in the entire prior distribution space into a series of approximation problems in trust region, in which, the regional genetic intelligent sampling technology is used to collect samples, the extended radial basis function is adopted to build a global metamodel, and then employs the genetic algorithm for approximate optimization. in the following, the minimum objective function and optimization result determine the reliability of center and radius of the next region. With constantly zooming, translating the trust region, the method ensures the misalignment load solutions in consistent with the true problem. The comparison of four methods shows that this proposed method can inherit samples falling in the next trust region to reduce the number of experimental design samples，and thus the efficiency is increased；Trust center adjustment strategy improves the accuracy of the metamodel in concerned space to accelerate convergence and reduces the dependance on metamodel accuracy.
Key words: rust region model management technology；Metamodel；Intelligent sampling；wind turbine rotor；misalignment load

Key words

rust region model management technology / Metamodel / Intelligent sampling / wind turbine rotor / misalignment load

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MAO Wengui, LI Jianhua, GUO Jie, ZHOU Zhou. Identification of misalignment load of wind turbine rotor system based on improved trust region model management technology[J]. Journal of Vibration and Shock, 2023, 42(1): 74-80

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