Abstract
This paper describes a new MATLAB-based toolbox for frequency domain system identification. Frequency domain system identification is proven highly effective in supporting development of UAVs and eVTOL vehicles, which can reduce the cost and cycle of modeling and flight control system design. The motivation of the toolbox is presented firstly. Then the toolbox architecture is analyzed. Then main methods such as discrete Fourier transform, spectral analysis, overlapped windowing are described. To evaluate the effectiveness, the toolbox is compared with CIFER (Comprehensive Identification from Frequency Response), a similar but embargoed toolbox from NASA Langley Research Center. With the same flight data, the identification results show the new developed toolbox has similar functionality and performance to CIFER.
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References
System identification--Wikipedia. https://en.wikipedia.org/wiki/System_identification. Accessed 23 Apr 2023
Jategaonkar, R.V.: Flight Vehicle System Identification: A Time Domain Methodology, 2nd edn. American Institute of Aeronautics and Astronautics, Reston (2015)
Ljung, L.: System Identification: Theory for the User. Tsinghua University Press, Beijing (2002)
Morelli, E.A., Klein, V.: Aircraft System Identification: Theory and Practice, vol. 2. Sunlight Enterprises, Williamsburg (2016)
Ljung, L., Singh, R.: Version 8 of the Matlab System Identification Toolbox. In: IFAC Proceedings Volumes, vol. 45, no. 16, pp. 1826–1831 (2012)
Frequency Domain System Identification Toolbox for Matlab. http://home.mit.bme.hu/~kollar/fdident/index.html. Accessed 23 Apr 2023
Kollár, I., Pintelon, R., Schoukens, J.: Frequency Domain System Identification Toolbox for MATLAB. In: IFAC Proceedings Volumes, vol. 24, no. 3, pp. 1243–1247 (1991)
Pintelon, R., Schoukens, J.: System Identification: A Frequency Domain Approach, 1st edn. Wiley, Hoboken (2001)
Tischler, M.B., Remple, R.K.: Aircraft and Rotorcraft System Identification. American Institute of Aeronautics and Astronautics, Reston (2012)
Simmons, B.M.: System identification approach for eVTOL aircraft demonstrated using simulated flight data. J. Aircr. 60, 1078–1093 (2023)
Niemiec, R., Gandhi, F., Lopez, M., Tischler, M.B.: System identification and handling qualities predictions of an eVTOL urban air mobility aircraft using modern flight control methods. In: Vertical Flight Society 76th Annual Forum, Virtual (2020)
Qing, L., Xingyu, Z., Juanxia, L.: Frequency-domain System identification of tiltrotor aircraft: compared with CIFER. In: 2022 8th International Conference on Control Science and Systems Engineering, pp. 115–119. IEEE (2022)
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Lin, Q., Liu, J., Zhang, S., Liu, G., Zhu, X. (2024). A Frequency Domain System Identification Toolbox for Aircraft and Rotorcraft. In: Qu, Y., Gu, M., Niu, Y., Fu, W. (eds) Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023). ICAUS 2023. Lecture Notes in Electrical Engineering, vol 1170. Springer, Singapore. https://doi.org/10.1007/978-981-97-1107-9_8
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DOI: https://doi.org/10.1007/978-981-97-1107-9_8
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