In the design of an activenoisecontrol system for the fairing of a launch vehicle,the distribution of the errorsensors directly affects the noise reduction performance. In this paper,an acoustic-structural coupled ...
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In the design of an activenoisecontrol system for the fairing of a launch vehicle,the distribution of the errorsensors directly affects the noise reduction performance. In this paper,an acoustic-structural coupled model of a fairing is established with a finite element method. The acoustic paths originated from the noise sources and the controlled loudspeakers to the errorsensors are identified with a state subspace method. An activenoisecontrol system is constructed with a multiple-input-multiple-ouput Fx-LMS algorithm. Taking the minimum global sound potential energy as the optimization objective, the locations of errorsensors are optimized with genetic algorithm. The results show that the optimization method of errorsensors location based on genetic algorithm can quickly converge to the optimal solution, and the global acoustic potential near the payload can be reduced by 87.5 %. Compared with centralized distribution and dispersed distribution, The optimal distribution scheme obtained by genetic algorithm takes into account the magnitude of acoustic potential energy reduction at the layout point and the distribution of measuring points, so as to minimize the global sound potential energy.
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