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An iterative data-based approach to disturbance observer sensitivity shaping

机译:基于迭代数据的干扰观测器灵敏度整形方法

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The disturbance observer (DOB) is widely used in high precision motion control applications as an effective means of rejecting disturbances. DOB design essentially boils down to the design of the Q filter. In traditional DOB design, the Q filter follows a standard form such as the Butterworth or binomial, where the bandwidth is the only tunable parameter. In this paper, we employ a more general form of Q filter, and tune the parameters iteratively using a data-based approach according to some design criterion. Simulation results show that the data-based design achieve improved disturbance rejection in low frequency region while the high frequency noise attenuation and robust stability is not compromised.
机译:干扰观测器(DOB)被广泛用于高精度运动控制应用中,作为抑制干扰的有效手段。 DOB设计本质上可以归结为Q滤波器的设计。在传统的DOB设计中,Q滤波器遵循标准形式,例如Butterworth或二项式,其中带宽是唯一的可调参数。在本文中,我们采用了一种更通用的Q滤波器形式,并根据一些设计准则使用基于数据的方法来迭代地调整参数。仿真结果表明,基于数据的设计在低频范围内改善了干扰抑制性能,而高频噪声衰减和鲁棒稳定性却未受到损害。

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