Acoustic feedback is the main problem associated with (broadband) active noise control (ANC) in feed-forward configuration. To solve this problem, auxiliary noise is injected into the ANC system to have accurate model of the feedback path. The conventional approaches substantially model the feedback path at the cost of degradation in the noise reduction performance (NRP) and vice versa. Here, we propose a fuzzy logic-based gain scheduling (of auxiliary noise) for online feedback path modeling and neutralization (FBPMN). The fuzzy controller computes the instantaneous gain for auxiliary noise based on two inputs, the first input gives information about modeling status of FBPMN filter while the second input gives information regarding variance of the disturbance signal for the adaptive FBPMN filter. Furthermore, variable step-size (VSS) is used for the adaptation of FBPMN filter that uses a larger value of step-size during modeling (phase) of FBPMN filter for fast adaptation and a smaller value when the feedback path has been (adequately) modeled. Fuzzy gain scheduler together with VSS in FBPMN filter improves both the NRP and feedback path modeling characteristics. Moreover, the proposed method does not require initial offline modeling of the feedback path thereby demonstrating complete online operation. To make the system computationally efficient, a look-up table-based approach is also proposed in this paper. Simulations results are presented to demonstrate the effectiveness of the proposed method.

中文翻译：

---

有源噪声控制系统在线反馈路径建模和中和的基于模糊逻辑的增益调度方法

声反馈是前馈配置中与（宽带）有源噪声控制（ANC）相关的主要问题。为了解决这个问题，辅助噪声被注入到 ANC 系统中，以获得反馈路径的精确模型。传统方法以降低降噪性能 (NRP) 为代价实质上对反馈路径进行建模，反之亦然。在这里，我们提出了一种基于模糊逻辑的增益调度（辅助噪声），用于在线反馈路径建模和中和（FBPMN）。模糊控制器基于两个输入计算辅助噪声的瞬时增益，第一个输入提供有关 FBPMN 滤波器建模状态的信息，而第二个输入提供有关自适应 FBPMN 滤波器的干扰信号方差的信息。此外，可变步长 (VSS) 用于 FBPMN 滤波器的自适应，它在 FBPMN 滤波器的建模（阶段）期间使用较大的步长值进行快速自适应，而在反馈路径已（充分）建模时使用较小的值。FBPMN 滤波器中的模糊增益调度器与 VSS 一起改进了 NRP 和反馈路径建模特性。此外，所提出的方法不需要反馈路径的初始离线建模，从而展示了完整的在线操作。为了提高系统的计算效率，本文还提出了一种基于查找表的方法。仿真结果展示了该方法的有效性。