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The application of particle swarm optimization algorithm in parameter identification has a good performance, but there are still some problems such as partial localization and slow convergence. In this paper, the complex multi-parameter problem of the pitch wind turbine system is presented. The improved particle swarm optimization algorithm is used to identify the parameters and reconstruct the model. In the parameter identification, the parameter identification strategy of the descending dimension and the contraction boundary is proposed, and the accurate identification effect is obtained. In model reconstruction, adaptability is verified.