Multi-Objective Optimization of Top-Level Arrangement for Flight Test

The lack of systematic and scientific top-level arrangement in the field of civil aircraft flight test leads to the problems of long duration and high cost. Based on the flight test activity, mathematical models of flight test duration and cost are established to set up the framework of flight test process. The top-level arrangement for flight test is optimized by multi-objective algorithm to reduce the duration and cost of flight test. In order to verify the necessity and validity of the mathematical models and the optimization algorithm of top-level arrangement, real flight test data is used to make an example calculation. Results show that the multi-objective optimization results of the top-level flight arrangement are better than the initial arrangement data, which can shorten the duration, reduce the cost, and improve the efficiency of flight test.

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Publication Details

Journal
Journal of Systems Engineering and Electronics
Published
2025-04-09
DOI
https://doi.org/10.23919/jsee.2025.000019
Primary Topic
Aerospace and Aviation Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-Objective Optimization of Top-Level Arrangement for Flight Test

Wenhao Bi, An Zhang, Yunong Wang, Fan Qiucen et al.
Journal of Systems Engineering and Electronics
Aerospace and Aviation Technology
article

Multi-Objective Optimization of Top-Level Arrangement for Flight Test

Wenhao Bi, An Zhang, Yunong Wang, Fan Qiucen, Xu Shuangfei
article en

Abstract

The lack of systematic and scientific top-level arrangement in the field of civil aircraft flight test leads to the problems of long duration and high cost. Based on the flight test activity, mathematical models of flight test duration and cost are established to set up the framework of flight test process. The top-level arrangement for flight test is optimized by multi-objective algorithm to reduce the duration and cost of flight test. In order to verify the necessity and validity of the mathematical models and the optimization algorithm of top-level arrangement, real flight test data is used to make an example calculation. Results show that the multi-objective optimization results of the top-level flight arrangement are better than the initial arrangement data, which can shorten the duration, reduce the cost, and improve the efficiency of flight test.

Journal of Systems Engineering and ElectronicsVol. 36(3)
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 91%
Aerospace and Aviation Technology
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