Collocation-based output-error method for aircraft system identification
| dc.creator | Dimas Abreu Archanjo Dutra | |
| dc.date.accessioned | 2021-08-14T00:40:20Z | |
| dc.date.accessioned | 2025-09-08T23:41:03Z | |
| dc.date.available | 2021-08-14T00:40:20Z | |
| dc.date.issued | 2019-09 | |
| dc.format.mimetype | ||
| dc.identifier.uri | https://hdl.handle.net/1843/37480 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | AIAA Aviation 2019 Forum | |
| dc.rights | Acesso Aberto | |
| dc.subject | Engenharia mecânica | |
| dc.title | Collocation-based output-error method for aircraft system identification | |
| dc.type | Artigo de evento | |
| local.description.resumo | The output-error method is a mainstay of aircraft system identification from flight-test data. It is the method of choice for a wide range of applications, from the estimation of stability and control derivatives for aerodynamic database generation to sensor bias estimation in flight-path reconstruction. However, notable limitations of the output-error method are that it requires ad hoc modifications for applications to unstable systems and it is an iterative method whichis particularly sensitive to the initial guess. In this paper, we show how to reformulate the estimation as a collocation problem, an approach common in other disciplines but seldomly used in flight vehicle system identification. Both formulations are equivalent in terms of having the same solution, but the collocation-based can be applied without modifications or loss of efficiency to unstable systems. Examples with simulated and real-world flight-test data also show that convergence to the optimum is obtained even with poor initial guesses. | |
| local.identifier.orcid | https://orcid.org/0000-0001-8202-744X | |
| local.publisher.country | Brasil | |
| local.publisher.department | ENG - DEPARTAMENTO DE ENGENHARIA MECÂNICA | |
| local.publisher.initials | UFMG | |
| local.url.externa | https://arxiv.org/pdf/1909.02838.pdf |