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Application of Physical Function Model to State Estimations of Nonlinear Mechanical Systems
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Title: | Application of Physical Function Model to State Estimations of Nonlinear Mechanical Systems |
Authors: | Yonezawa, Heisei Browse this author | Kajiwara, Itsuro Browse this author →KAKEN DB | Sato, Shota Browse this author | Nishidome, Chiaki Browse this author | Hatano, Takashi Browse this author | Hiramatsu, Shigeki Browse this author |
Keywords: | Solid modeling | Mechanical systems | Analytical models | Kalman filters | Mathematical model | Load modeling | Automobiles | Automotive drivetrain | backlash | block diagram | modeling | nonlinear mechanical system | physical function model | state estimation |
Issue Date: | 13-Jan-2021 |
Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
Journal Title: | IEEE Access |
Volume: | 9 |
Start Page: | 12002 |
End Page: | 12018 |
Publisher DOI: | 10.1109/ACCESS.2021.3051421 |
Abstract: | The physical function model has been effectively used for model-based development (MBD) of automobile systems. This research demonstrates a novel application of this modeling method to the state estimation of nonlinear mechanical systems based on the Kalman filtering theory. The physical function model is a block diagram that describes each engineering field by a common rule, which focuses on the energy flow. Compared to traditional modeling approaches, this model has the flexibility to incorporate a wide range of nonlinear characteristics and the know-how accumulated by the manufacturers. Hence, it has a quite high affinity with the industrial world. The purpose of this research is to pioneer a new application of the physical function model beyond simulation analysis. In particular, physical function modeling offers a model of a system with multiple nonlinearities in the form of a time-varying linear state equation. By focusing on this feature, this study applies it to the Kalman filtering theory. The proposed approach is applicable to a wide range of nonlinearities, reduces the calculation load, and considers the background of the current MBD. Finally, verifications using an experimental apparatus, which simplifies an automotive drivetrain with backlash, demonstrate the effectiveness of the proposed approach. |
Rights: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | https://creativecommons.org/licenses/by/4.0/ |
Type: | article |
URI: | http://hdl.handle.net/2115/80547 |
Appears in Collections: | 工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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