dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Kalmari, Jouko | |
dc.contributor.author | Hyyti, Heikki | |
dc.contributor.author | Visala, Arto | |
dc.date.accessioned | 2015-01-21T10:00:11Z | |
dc.date.available | 2015-01-21T10:00:11Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Kalmari, Jouko & Hyyti, Heikki & Visala, Arto. 2013. Sway Estimation Using Inertial Measurement Units for Cranes with a Rotating Tool. 8th IFAC Symposium on Intelligent Autonomous Vehicles, Australia, 2013. DOI: 10.3182/20130626-3-AU-2035.00050. | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/14989 | |
dc.description.abstract | Cranes have often a freely hanging load or tool that starts easily swaying. Anti-sway control requires that the angles and angular velocities of the swinging object are measured. Some cranes can also rotate the tool with a hydraulic motor, and in many cases this rotator angle should also be known. Instrumenting all three axes, two swaying and one rotating axis, with traditional rotary encoders can be challenging. We propose an extended Kalman filter based system using two inertial measurement units. This system can measure the swaying in both directions and estimate the rotator angle. Computer vision system is used as reference. The initial results show that the error is approximately 5 degrees in the rotator angle and 2 degrees in the sway angles. The observer runs at 100 Hz on an embedded microcontroller. | en |
dc.format.extent | 6 | |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | Aalto University | en |
dc.publisher | Aalto-yliopisto | fi |
dc.relation.ispartof | 8th IFAC Symposium on Intelligent Autonomous Vehicles, Australia, 2013 | en |
dc.subject.other | Automation | en |
dc.title | Sway Estimation Using Inertial Measurement Units for Cranes with a Rotating Tool | en |
dc.type | A4 Artikkeli konferenssijulkaisussa | fi |
dc.description.version | Peer reviewed | en |
dc.rights.holder | IFAC | |
dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
dc.contributor.school | School of Electrical Engineering | en |
dc.contributor.department | Automaatio- ja systeemitekniikan laitos | fi |
dc.contributor.department | Department of Automation and Systems Technology | en |
dc.subject.keyword | extended Kalman filters | en |
dc.subject.keyword | inertial measurement units | en |
dc.subject.keyword | observers | en |
dc.subject.keyword | gyroscopes | en |
dc.subject.keyword | accelerometers | en |
dc.subject.keyword | sensor fusion | en |
dc.identifier.urn | URN:NBN:fi:aalto-201501221179 | |
dc.type.dcmitype | text | en |
dc.identifier.doi | 10.3182/20130626-3-AU-2035.00050 | |
dc.type.version | Post print | en |
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