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- W4320037588 abstract "The Flapping Wing Micro Air Vehicle (FWMAV) is a new concept vehicle created to mimic the flight of natural birds or insects. Due to the special flight mode and flight mechanism of the micro-flapping wing relative to fixed and rotary wings, the MEMS sensor works in a strong vibration environment, which generates large errors and thus affects the accuracy of attitude solution. Therefore, this paper analyses the micro-flapping wing and establishes the drive system model and sensor error model of the micro-flapping wing. This is the basis for the design of an attitude solution algorithm applied to the strong vibration environment of a miniature flutter wing. The solution algorithm uses complementary filtering to pre-process the data collected by the MEMS sensor as well as improvements on the Sage-Husa adaptive Kalman filter in order to improve the stability of the algorithm. Finally, by conducting simulation experiments and comparing with other pose solving algorithms, the effectiveness and feasibility of the algorithm is verified." @default.
- W4320037588 created "2023-02-12" @default.
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- W4320037588 date "2023-01-01" @default.
- W4320037588 modified "2023-09-23" @default.
- W4320037588 title "Attitude Estimation Algorithm for Flapping Wing Micro Air Vehicle in Strong Vibration Environment" @default.
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- W4320037588 doi "https://doi.org/10.1007/978-981-19-6613-2_152" @default.
- W4320037588 hasPublicationYear "2023" @default.
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