论文部分内容阅读
有源消声是一种有效的低频噪声控制方法，由于空间有源消声过程具有时变性和非线性，传统的自适应算法不能进行很有效的控制。本文采用智能模糊控制策略，建立了基于智能模糊控制策略的有源消声系统，通过实验与传统自适应控制算法的消声效果作对比分析，证明智能模糊控制器不但控制速度快，易于实现，而且消声效果明显优于后者，具有较大的应用推广价值。
Active noise cancellation is an effective low-frequency noise control method. Due to the time-varying and non-linearity of the spatial active noise cancellation process, traditional adaptive algorithms can not be effectively controlled. In this paper, the intelligent fuzzy control strategy is adopted to establish an active muffler system based on the intelligent fuzzy control strategy. By comparing the anechoic effect of the experiment with the traditional adaptive control algorithm, it is proved that the intelligent fuzzy controller not only has the advantages of fast control speed, easy implementation, And the noise reduction effect is obviously better than the latter, with greater application of promotional value.