DC Field | Value | Language |
---|---|---|
dc.contributor.author | Youn, Wonkeun | ko |
dc.contributor.author | Choi, Hyoungsik | ko |
dc.contributor.author | Cho, Am | ko |
dc.contributor.author | Kim, Sungyug | ko |
dc.contributor.author | Rhudy, Matthew B. | ko |
dc.date.accessioned | 2021-03-26T01:52:35Z | - |
dc.date.available | 2021-03-26T01:52:35Z | - |
dc.date.created | 2020-10-13 | - |
dc.date.issued | 2020-10 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, v.69, no.10, pp.8539 - 8553 | - |
dc.identifier.issn | 0018-9456 | - |
dc.identifier.uri | http://hdl.handle.net/10203/281865 | - |
dc.description.abstract | This article proposes a novel fault-tolerant dynamic model-aided navigation filter to cope with accelerometer faults. An algorithm to estimate the three-axis accelerations of a high-altitude long-endurance (HALE) unmanned aerial vehicle (UAV) utilizing control input signals and aerodynamic coefficient parameters is newly proposed. To address the fault of the accelerometer, two model-aided navigation filters that utilize the measured acceleration, denoted as Acc-measure algorithm, and estimated acceleration, denoted as Acc-free algorithm, respectively, are effectively combined under the interacting multiple model (IMM) framework to integrate the optimality of Acc-measure algorithm and robustness of Acc-free algorithm. Flight test results demonstrated that the proposed algorithm yields robust attitude and wind estimation results in the presence of different types of accelerometer faults compared with Acc-measure and Acc-free algorithms while accurately detecting the fault of the accelerometer. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Accelerometer Fault-Tolerant Model-Aided State Estimation for High-Altitude Long-Endurance UAV | - |
dc.type | Article | - |
dc.identifier.wosid | 000571849100119 | - |
dc.identifier.scopusid | 2-s2.0-85091769086 | - |
dc.type.rims | ART | - |
dc.citation.volume | 69 | - |
dc.citation.issue | 10 | - |
dc.citation.beginningpage | 8539 | - |
dc.citation.endingpage | 8553 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | - |
dc.identifier.doi | 10.1109/TIM.2020.2988748 | - |
dc.contributor.nonIdAuthor | Choi, Hyoungsik | - |
dc.contributor.nonIdAuthor | Cho, Am | - |
dc.contributor.nonIdAuthor | Kim, Sungyug | - |
dc.contributor.nonIdAuthor | Rhudy, Matthew B. | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Accelerometers | - |
dc.subject.keywordAuthor | Aerodynamics | - |
dc.subject.keywordAuthor | Navigation | - |
dc.subject.keywordAuthor | Redundancy | - |
dc.subject.keywordAuthor | Estimation | - |
dc.subject.keywordAuthor | Fault tolerant systems | - |
dc.subject.keywordAuthor | Acceleration estimation | - |
dc.subject.keywordAuthor | aerodynamic model | - |
dc.subject.keywordAuthor | attitude estimation | - |
dc.subject.keywordAuthor | fault-tolerant | - |
dc.subject.keywordAuthor | interacting multiple model (IMM) | - |
dc.subject.keywordAuthor | Kalman filter | - |
dc.subject.keywordAuthor | unmanned aerial vehicle (UAV) | - |
dc.subject.keywordAuthor | wind estimation | - |
dc.subject.keywordPlus | CRITICAL AVIONIC SYSTEMS | - |
dc.subject.keywordPlus | UNMANNED AERIAL VEHICLE | - |
dc.subject.keywordPlus | ATTITUDE ESTIMATION | - |
dc.subject.keywordPlus | KALMAN FILTER | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
dc.subject.keywordPlus | CALIBRATION | - |
dc.subject.keywordPlus | CERTIFICATION | - |
dc.subject.keywordPlus | NAVIGATION | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | SOFTWARE | - |
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