| Citation: | XU Huachao, ZHU Haojie, HAN Zhenhua, et al. Vibration reduction optimization for helicopter’s main gearbox based on surrogate model and sensitivity analysis[J]. Journal of Aerospace Power, 2024, 39（11）：20220884 doi: 10.13224/j.cnki.jasp.20220884
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In view of the problems of large amount of calculation and many parameters in the vibration reduction optimization for helicopter’s main gearbox, an optimal design method for vibration reduction of helicopter’s main gearbox based on surrogate model and global sensitivity analysis was proposed. The evaluation index of the vibration performance was defined. The optimal Latin hypercube sampling method was used to evenly extract the sample data, which were brought into the dynamic model of the helicopter’s main gearbox to obtain the evaluation index samples. The surrogate model was used to construct and replace the time-consuming dynamic model of main gearbox to improve the optimization efficiency. Subsequently, parameter sensitivity analysis was conducted to determine the optimization variables, and genetic algorithms were used to search for the optimal parameter values within the range of optimization parameters. The results showed that the surrogate model can effectively replace the dynamics model of the helicopter’s main gearbox. The meshing stiffness served as an important parameter affecting the system vibration. After optimization, the maximum and minimum reductions in the effective value of vibration acceleration at each measuring point of the main reducer were 18.01% and 4.28%, respectively.
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