Digital-to-analog conversion is essential in digital signal processing applications, including closed-loop control schemes. Noise and distortion in digital-to-analog converters result in reduced performance for high-precision mechatronics such as nano-positioning. Glitches are common in practical switched systems such as digital-to-analog converters; observed as an output disturbance. Due to the wide-bandwidth, impulse-like behavior, control law bandwidth is generally too low to provide adequate attenuation; deteriorating open and closed-loop performance. This article demonstrates how large-amplitude high-frequency periodic dither mitigates the effect of glitches in a nano-positioning system under closed-loop control. Simulations are performed using a model that includes significant non-linearities with a response fitted to an off-the-shelf commercial device, as well as using standard linear time-invariant models for other system components fitted to the responses of common, commercially available devices. The results highlight the significance of reconstruction filter design when applying dithering in this setting.
|Titel||2023 American Control Conference, ACC 2023|
|Publikationsdato||3 jul. 2023|
|Status||Udgivet - 3 jul. 2023|
|Begivenhed||2023 American Control Conference, ACC 2023 - San Diego, USA|
Varighed: 31 maj 2023 → 2 jun. 2023
|Konference||2023 American Control Conference, ACC 2023|
|Periode||31/05/2023 → 02/06/2023|
|Navn||Proceedings of the American Control Conference|
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© 2023 American Automatic Control Council.