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dc.contributor.authorMatthew O.T. Coleen_US
dc.contributor.authorPraween Shinonawaniken_US
dc.contributor.authorTheeraphong Wongratanaphisanen_US
dc.date.accessioned2018-09-05T04:25:42Z-
dc.date.available2018-09-05T04:25:42Z-
dc.date.issued2018-05-01en_US
dc.identifier.issn10961216en_US
dc.identifier.issn08883270en_US
dc.identifier.other2-s2.0-85037809810en_US
dc.identifier.other10.1016/j.ymssp.2017.10.029en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037809810&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58505-
dc.description.abstract© 2017 Elsevier Ltd Structural flexibility can impact negatively on machine motion control systems by causing unmeasured positioning errors and vibration at locations where accurate motion is important for task execution. To compensate for these effects, command signal prefiltering may be applied. In this paper, a new FIR prefilter design method is described that combines finite-time vibration cancellation with dynamic compensation properties. The time-domain formulation exploits the relation between tracking error and the moment values of the prefilter impulse response function. Optimal design solutions for filters having minimum H2 norm are derived and evaluated. The control approach does not require additional actuation or sensing and can be effective even without complete and accurate models of the machine dynamics. Results from implementation and testing on an experimental high-speed manipulator having a Delta robot architecture with directionally compliant end-effector are presented. The results show the importance of prefilter moment values for tracking performance and confirm that the proposed method can achieve significant reductions in both peak and RMS tracking error, as well as settling time, for complex motion patterns.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleTime-domain prefilter design for enhanced tracking and vibration suppression in machine motion controlen_US
dc.typeJournalen_US
article.title.sourcetitleMechanical Systems and Signal Processingen_US
article.volume104en_US
article.stream.affiliationsChiang Mai Universityen_US
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