Merging extremum seeking and self-optimizing narrowband interference canceller - overdetermined case

M. Meller
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Abstract

Active cancellation systems rely on destructive interference to achieve rejection of unwanted disturbances entering the system of interest. Typical practical applications of this method employ a simple single input, single output arrangement. However, when a spatial wavefield (e.g. acoustic noise or vibration) needs to be controlled, multichannel active cancellation systems arise naturally. Among these, the so-called overdetermined control configuration, which employs more measurement outputs than control inputs, is often found to provide superior performance. The paper proposes an extension of the recently introduced control scheme, called self-optimizing narrowband interference canceller (SONIC), to the overdetermined case. The extension employs a novel variant of the extremum-seeking adaptation loop which uses random, rather than sinusoidal, probing signals. This modification simplifies design of the controller and improves its convergence. Simulations, performed using a realistic model of the plant, demonstrate improved properties of the new controller.
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合并极值搜索和自优化窄带干扰消除器——超定情况
有源抵消系统依靠相消干扰来实现对进入感兴趣系统的不必要干扰的抑制。这种方法的典型实际应用采用简单的单输入、单输出安排。然而,当需要控制空间波场(如声学噪声或振动)时,多通道主动对消系统自然出现。其中,所谓的超定控制配置,即采用比控制输入更多的测量输出,通常被发现提供更好的性能。本文提出了一种新引入的控制方案的扩展,称为自优化窄带干扰抵消(SONIC),用于超定情况。该扩展采用了一种新的极值寻求自适应回路,它使用随机而不是正弦探测信号。这种改进简化了控制器的设计,提高了控制器的收敛性。利用真实的工厂模型进行仿真,证明了新控制器性能的改进。
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