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A New Hybrid Active Noise Control System: Adaptive Plant Disturbance Canceling Structure Combined with Narrowband Adaptive Noise Canceling Structure

机译:一种新的混合动力源噪声控制系统:自适应植物干扰消除结构与窄带自适应噪声消除结构相结合

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Hybrid control technique using feedforward and feedback control methods have been proved to be an effective way for active noise control (ANC) systems. The main problem is that the feedback loop often brings unstable of the system. Traditional feedback control tragedy, such as robust control, mainly focus on system stability and loss a lot of system performance by making some trade-off among the control parameters. In this investigation, we propose a new hybrid ANC system to cope with this problem. It consists of a conventional narrowband feedforward adaptive active noise canceling and an adaptive plant disturbance canceller based on inverse modeling technique. A simulation system is developed with the MATLAB/Simulink dynamic system analysis tools for evaluating the performance of the new hybrid control system. Simulation test is carried out using measured noise signals from a motorcycle engine exhaust. The results show that it can achieve a remarkable noise reduction across the entire frequency band. Another important feature of this new hybrid system is that it can effectively eliminate the "disturbances" that including the unconcealed part of the primary noise, the sensor noise, and the disturbances intruding from the environments.
机译:已经证明了使用馈电和反馈控制方法的混合控制技术是有效的主动噪声控制(ANC)系统的有效方法。主要问题是反馈循环通常会带来系统不稳定。传统的反馈控制悲剧,如强大的控制,主要专注于系统稳定性,通过在控制参数之间进行一些权衡来缩小系统稳定性和损失很多系统性能。在这次调查中,我们提出了一种新的混合ANC系统来应对这个问题。它由传统的窄带前馈自适应有源噪声消除和基于逆建模技术的自适应工厂干扰消除器组成。使用Matlab / Simulink动态系统分析工具开发了一种用于评估新混合控制系统的性能的仿真系统。使用来自摩托车发动机排气的测量噪声信号进行仿真试验。结果表明,它可以在整个频带上实现显着的降噪。这种新的混合系统的另一个重要特点是它可以有效地消除包括非识别的主要噪声,传感器噪声和扰动来自环境的扰动的“扰动”。

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