以响度为噪声主动控制目标,提出逆模型结构和延迟补偿结构相结合的LFLMS改进算法.以轿车封闭车厢为载体构建双通道主动消声系统.以发动机噪声为噪声源,用三种控制算法进行试验,结果表明LFLMS改进算法与LFLMS算法的控制效果相近,且收敛速度快；响度控制声压减小不及声压控制,但响度减小量更大,主观听觉效果更好.%The control objective of the active noise control (ANC) system was modified from minimizing sound pressure to minimizing loudness. The improved loudness-filtered least square mean (LFLMS) algorithm was derived based on linking the delay-compensated structure with the inverse-model structure. A double channel ANC system was installed in a passenger car cabin. Three algorithms were used to attenuate the engine noise in the cabin. The experimental results indicate that the improved LFLMS algorithm converges faster, and the loudness control can achieve better subjective effect than the sound pressure control in terms of loudness reduction.
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