Study on flight quality evaluation algorithm based on volatility channel and TOPSIS
Study on flight quality evaluation algorithm based on volatility channel and TOPSIS
- Author(s): C. Zhang 1 ; L. Pang 2 ; X. Lu 1 ; T. Wang 3
- DOI: 10.1049/icp.2021.0444
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- Author(s): C. Zhang 1 ; L. Pang 2 ; X. Lu 1 ; T. Wang 3
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View affiliations
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Affiliations:
1:
School of Safety Engineering , Shenyang Aerospace University , Shenyang, 110135, China ;
2: School of Aviation Science and Engineering , Beihang University , Beijing, 100191, China ;
3: School of Economics and Management , Shenyang Aerospace University , Shenyang, 110135, China
Source:
CSAA/IET International Conference on Aircraft Utility Systems (AUS 2020),
2021
p.
78 – 83
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Affiliations:
1:
School of Safety Engineering , Shenyang Aerospace University , Shenyang, 110135, China ;
- Conference: CSAA/IET International Conference on Aircraft Utility Systems (AUS 2020)
- DOI: 10.1049/icp.2021.0444
- ISBN: 978-1-83953-419-5
- Location: Online Conference
- Conference date: 18-21 September 2020
- Format: PDF
In flight training, the traditional flight quality evaluation is mainly based on the instructor's experience and simple flight parameters, which is characterized by strong subjectivity and inaccurate evaluation results. To solve this problem, this paper improved TOPSIS by confirming the weight of index with entropy weight method, and combined the Bollinger bands with TOPSIS to objectively and accurately evaluate the flight quality. In order to make the data reliable and practical, the flight data used in this paper came from the FlightGear flight simulator. After the objective evaluation, the relevant parameters were processed, and the change curves of flight parameters and three-dimensional flight trajectories were generated to reproduce the flight process. In this way, instructors can make subjective evaluation and pilots can find out the problems easily in the training process to improve their level of flight training.
Inspec keywords: aerospace simulation; entropy; TOPSIS; computer based training
Subjects: Game theory; Computer-aided instruction; Aerospace engineering computing