Multi-Objective Optimal Control Method for Interior Vehicle Personal Sound Zone Generation

Abstract Generation interior vehicle personal sound zone (PSZ) has great application prospects since it can meet the listening requirements of different people without causing interference to other people. Acoustic contrast, signal distortion, and array effort are often used to measure the performance of the PSZ system. However, these three indicators cannot reach their optimal values simultaneously. To obtain optimal performance in one aspect, it is necessary to reduce the other two indicators at a cost. Therefore, when designing the PSZ system, these three indicators must be balanced so that the comprehensive performance of the PSZ system can be optimized. Combining the power constraints of the speaker array, based on the Non-dominated Genetic Algorithm II (NSGA-II), a multiobjective optimal control method PSZ-MOGA is proposed for the generation interior vehicle PSZ, which is used to optimize the three performance indices comprehensively. In addition, the mixed speaker array is used for the reproduction of the sound field. The results show that the proposed PSZ-MOGA method improves the reproduction accuracy of the bright zones compared to the acoustic contrast control methods and also enhances the acoustic contrast (AC) while achieving lower array power consumption compared to the pressure matching method.