{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T08:44:00Z","timestamp":1767084240321,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T00:00:00Z","timestamp":1647475200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009245","name":"Ministry of Education and Research","doi-asserted-by":"publisher","award":["155597"],"award-info":[{"award-number":["155597"]}],"id":[{"id":"10.13039\/501100009245","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotics"],"abstract":"<jats:p>The deflection compensation of a hydraulically actuated loader crane is presented. Measurement data from the laboratory are used to design a neural network deflection estimator. Kinematic expressions are derived and used with the deflection estimator in a feedforward topology to compensate for the static deflection. A dynamic deflection compensator is implemented, using pressure feedback and an adaptive bandpass filter. Simulations are conducted to verify the performance of the control system. Experimental results showcase the effectiveness of both the static and dynamic deflection compensator while running closed-loop motion control, with a 90% decrease in static deflection.<\/jats:p>","DOI":"10.3390\/robotics11020034","type":"journal-article","created":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T21:37:17Z","timestamp":1647812237000},"page":"34","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Online Deflection Compensation of a Flexible Hydraulic Loader Crane Using Neural Networks and Pressure Feedback"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2449-8419","authenticated-orcid":false,"given":"Konrad Johan","family":"Jensen","sequence":"first","affiliation":[{"name":"Department of Engineering Sciences, University of Agder, 4879 Grimstad, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6983-8720","authenticated-orcid":false,"given":"Morten Kjeld","family":"Ebbesen","sequence":"additional","affiliation":[{"name":"Department of Engineering Sciences, University of Agder, 4879 Grimstad, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7059-9512","authenticated-orcid":false,"given":"Michael Rygaard","family":"Hansen","sequence":"additional","affiliation":[{"name":"Department of Engineering Sciences, University of Agder, 4879 Grimstad, Norway"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Giorgio, I., and Del Vescovo, D. 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