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Identification of Aircraft Lateral-Directional Derivatives

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Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

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Abstract

The application of neural networks combined with partial differentiation of the neural outputs is discussed in this chapter to estimate lateral-directional flight stability and control derivatives from flight data. Primary investigation is carried out with simulated data and results are found to be encouraging to apply with flight data.

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References

  • V. Dongare, M. Mohamed, Lateral-directional aerodynamics parameter estimation using neural partial differentiation, in 2015 International Conference on Cognitive Computing and Information Processing (ccip) (2015), pp. 1–6. https://doi.org/10.1109/CCIP.2015.7100730

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Author information

Authors and Affiliations

  1. Flight Mechanics and Control Division, CSIR-National Aerospace Laboratories, Bengaluru, Karnataka, India

    Majeed Mohamed

  2. WNS Global Services, Gurugram, India

    Vikalp Dongare

Authors
  1. Majeed Mohamed
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  2. Vikalp Dongare
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Corresponding author

Correspondence to Majeed Mohamed .

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Mohamed, M., Dongare, V. (2021). Identification of Aircraft Lateral-Directional Derivatives. In: Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-0104-0_4

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  • DOI: https://doi.org/10.1007/978-981-16-0104-0_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0103-3

  • Online ISBN: 978-981-16-0104-0

  • eBook Packages: EngineeringEngineering (R0)

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