Identification of cyclic disturbances in positioning systems via compressive sensing

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In industrial precision positioning systems the measurement position is hardly ever the same as the location of the actuator. The properties and imperfections of the actuator and the underlying components between the sensor and the actuator mainly lead to deterministic reproducible position errors. The advantage of these systematic cyclic disturbances is that they can be compensated for, once identified. In this paper we use nonuniform sampling combined with Compressive Sensing (CS) to identify high spatial frequency disturbances in positioning systems when the spatial sample period is limited. The proposed strategy is implemented on the paper positioning unit of a wide format printer, to identify the cyclic disturbances in the positioning of paper with respect to the printheads. Based on CS, we present a strategy to identify the cyclic disturbances in the paper positioning from randomly obtained relative position error measurements. Experiments with a limited spatial sample period show that the high disturbance frequencies are also successfully identified.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference (ACC), 1-3 July 2015, Chicago, Illinois
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)978-1-4799-8685-9
Publication statusPublished - 28 Jul 2015
Event2015 American Control Conference, ACC 2015 - Hilton Palmer House, Chicago, United States
Duration: 1 Jul 20153 Jul 2015


Conference2015 American Control Conference, ACC 2015
Abbreviated titleACC 2015
Country/TerritoryUnited States
Internet address


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