{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T13:18:59Z","timestamp":1771679939471,"version":"3.50.1"},"reference-count":30,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T00:00:00Z","timestamp":1661212800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Project INCT-SAC","award":["CNPq 465755\/2014-3"],"award-info":[{"award-number":["CNPq 465755\/2014-3"]}]},{"name":"Project INCT-SAC","award":["FAPESP 2014\/508510"],"award-info":[{"award-number":["FAPESP 2014\/508510"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Aerospace"],"abstract":"<jats:p>Good state and wind estimation is a requirement for the development of guidance and control techniques for airships. However, usually this information is not directly available from the airship sensors. The typical solution applies filtering, estimation and sensor fusion methods. This paper presents a comparative study, evaluating three solutions for the state estimation of NOAMAY airship. We also present alternative versions for the crucial estimation of the wind velocity, combining Kalman filters with a data-driven Neural Network. Finally, we present special solutions to usual problems encountered in filtering implementation as the mitigation of delays caused by second-order filters. The sensors set considered is composed of a global positioning system, an inertial measurement unit and a one-dimensional Pitot probe. Comparative simulation results are presented with the use of a realistic nonlinear model of the airship.<\/jats:p>","DOI":"10.3390\/aerospace9090470","type":"journal-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T21:05:12Z","timestamp":1661288712000},"page":"470","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Filtering and Estimation of State and Wind Disturbances Aiming Airship Control and Guidance"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8387-0498","authenticated-orcid":false,"given":"Apolo Silva","family":"Marton","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, University of Campinas, R. Mendeleyev, 200, Campinas 13083-180, SP, Brazil"}]},{"given":"Jos\u00e9 Raul","family":"Azinheira","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7645-7758","authenticated-orcid":false,"given":"Andr\u00e9 Ricardo","family":"Fioravanti","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, University of Campinas, R. Mendeleyev, 200, Campinas 13083-180, SP, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9205-9688","authenticated-orcid":false,"given":"Ely Carneiro","family":"De Paiva","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, University of Campinas, R. Mendeleyev, 200, Campinas 13083-180, SP, Brazil"}]},{"given":"Jos\u00e9 Reginaldo H","family":"Carvalho","sequence":"additional","affiliation":[{"name":"Institute of Computing of the Federal University of Amazonas, Av. General Rodrigo Octavio Jord\u00e3o Ramos, 1200-Coroado I, Manaus 69067-005, AM, Brazil"}]},{"given":"Ramiro Romankevicius","family":"Costa","sequence":"additional","affiliation":[{"name":"Federal Institute of Education, Science and Technology of S\u00e3o Paulo, Campus Campinas, R. Heitor Lacerda Guedes, 1000, Campinas 13059-581, SP, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Liu, Y., Pan, Z., Stirling, D., and Naghdy, F. (2009, January 13\u201319). Control of autonomous airship. 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Control Dyn."}],"container-title":["Aerospace"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2226-4310\/9\/9\/470\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:14:03Z","timestamp":1760141643000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2226-4310\/9\/9\/470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,23]]},"references-count":30,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["aerospace9090470"],"URL":"https:\/\/doi.org\/10.3390\/aerospace9090470","relation":{},"ISSN":["2226-4310"],"issn-type":[{"value":"2226-4310","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,23]]}}}