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Noise Reduction Disturbance Observer for Disturbance Attenuation and Noise Suppression

机译:降噪干扰观测器,用于干扰衰减和噪声抑制

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摘要

In most research works on the disturbance observer (DOB)-based controller, stability conditions are only sufficient and not effective for handling large uncertainties. To deal with large uncertainties, a necessary and sufficient condition for robust stability has been recently provided by utilizing a novel design technique for the Q -filter. Although this design method can deal with large uncertainties, it is not capable of suppressing the effect of sensor noise. To achieve noise suppression as well as disturbance attenuation, this paper proposes a robust controller by utilizing a modified DOB structure. In contrast to the conventional DOB structure, noise suppression ability of the proposed controller can be adjusted by an appropriate choice of the Q-filter. Moreover, a necessary and sufficient condition for the modified DOB system to be robustly stable is newly presented. To show the effectiveness of the proposed controller, the performance is compared with other disturbance attenuation methods through simulation studies. Finally, in order to verify the validity of the proposed method, laboratory experiments are also conducted with brushless dc motor drives, which confirms that the proposed controller is quite useful for attenuating both input disturbance and sensor noise, while DOB controller is not capable of suppressing sensor noise.
机译:在基于干扰观测器(DOB)的控制器的大多数研究工作中,稳定条件仅足以满足大不确定性要求,而不能有效地解决这些问题。为了解决较大的不确定性,最近通过利用新颖的Q滤波器设计技术提供了鲁棒稳定性的必要和充分条件。尽管此设计方法可以处理较大的不确定性,但它不能抑制传感器噪声的影响。为了实现噪声抑制和干扰衰减,本文提出了一种利用改进的DOB结构的鲁棒控制器。与传统的DOB结构相反,可以通过适当选择Q滤波器来调整所提出控制器的噪声抑制能力。此外,新提出了改进的DOB系统鲁棒稳定的必要和充分条件。为了显示所提出控制器的有效性,通过仿真研究将其性能与其他干扰衰减方法进行了比较。最后,为了验证所提出方法的有效性,还对无刷直流电动机驱动器进行了实验室实验,这证实了所提出的控制器对于衰减输入干扰和传感器噪声非常有用,而DOB控制器无法抑制传感器噪音。

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