Weight Estimation of Aircraft in Flight by Sensor Fusion with Revised Forward–Backward Smoother

Atsuya Ishikawa, Masaru Naruoka, Tetsujiro Ninomiya, Shuichi Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Estimation of aircraft weight in flight, which is a dominant parameter related to its flight performance, was studied. A typical approach for the estimation is to use a simple combination of initial weight on the ground and fuel consumption in air obtained with fuel tank gauge or by accumulating fuel flow. This approach is insufficient when the flight performance will be estimated as accurately as possible because some of the available measurements are not utilized. Therefore, the forward–backward smoother derived from Kalman filter was applied to the estimation with our revision of the smoother to fuse terminal weight on the ground additionally. According to numerical simulations, our method estimated the weight in smaller errors than not only the typical approach but also a fixed-interval smoother, which is used generally for an off-line estimation problem. Moreover, application to actual flight data showed that our method improved the estimated standard deviation by approximately three percent at maximum compared to the fixed-interval smoother.

Original languageEnglish
Title of host publicationThe Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology APISAT 2021, Volume 2
EditorsSangchul Lee, Cheolheui Han, Jeong-Yeol Choi, Seungkeun Kim, Jeong Ho Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Print)9789811926341
Publication statusPublished - 2023
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021 - Virtual, Online
Duration: 2021 Nov 152021 Nov 17

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021
CityVirtual, Online


  • Forward–backward smoother
  • Sensor fusion
  • Weight estimation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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