Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop

Jie Chen Cun-Bao Ma Dong Song

Jie Chen, Cun-Bao Ma, Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2014, 11(3): 313-319. doi: 10.1007/s11633-014-0794-5
引用本文: Jie Chen, Cun-Bao Ma, Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2014, 11(3): 313-319. doi: 10.1007/s11633-014-0794-5
Jie Chen, Cun-Bao Ma and Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop. International Journal of Automation and Computing, vol. 11, no. 3, pp. 313-319, 2014. doi: 10.1007/s11633-014-0794-5
Citation: Jie Chen, Cun-Bao Ma and Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop. International Journal of Automation and Computing, vol. 11, no. 3, pp. 313-319, 2014. doi: 10.1007/s11633-014-0794-5

Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop

doi: 10.1007/s11633-014-0794-5
基金项目: 

This work was supported by the Fundamental Research Funds for the Central Universities (No.310201401JCQ01010).

详细信息
    作者简介:

    Cun-Bao Ma graduated from North-western Polytechnical University (NWPU), China in 1984. He received the M. Sc. degree from NWPU in 1987 and the Ph. D. degree from NWPU in 2011. He is currently a professor at School of Aeronautics, NWPU. His research interests include flight simulation and system modeling. E-mail: cacemacb@nwpu.edu.cn

Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop

Funds: 

This work was supported by the Fundamental Research Funds for the Central Universities (No.310201401JCQ01010).

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出版历程
  • 收稿日期:  2013-06-30
  • 修回日期:  2013-09-12

Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop

doi: 10.1007/s11633-014-0794-5
    基金项目:

    This work was supported by the Fundamental Research Funds for the Central Universities (No.310201401JCQ01010).

    作者简介:

    Cun-Bao Ma graduated from North-western Polytechnical University (NWPU), China in 1984. He received the M. Sc. degree from NWPU in 1987 and the Ph. D. degree from NWPU in 2011. He is currently a professor at School of Aeronautics, NWPU. His research interests include flight simulation and system modeling. E-mail: cacemacb@nwpu.edu.cn

摘要: Airdrop is the most important approach for crisis transaction and unexpected events, it is necessary to investigate the flight characteristics of transport aircraft during the dropping process. This paper mainly focuses on the stability, controllability and model simplification of large aircraft with heavy cargo airdrop. In this process, the primary elements which have impact on force and moment are studied theoretically, the role of cargo mass, moving parameters and other factors on dynamical characteristics have been assessed by simulation and analysis. And then the aircraft model simplification is completed for control system designing in future. All the work above shows that the parameters of cargo moving play a dominant role in flight characteristics and the flight equations can be simplified to reduce the design complexity.

English Abstract

Jie Chen, Cun-Bao Ma, Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2014, 11(3): 313-319. doi: 10.1007/s11633-014-0794-5
引用本文: Jie Chen, Cun-Bao Ma, Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2014, 11(3): 313-319. doi: 10.1007/s11633-014-0794-5
Jie Chen, Cun-Bao Ma and Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop. International Journal of Automation and Computing, vol. 11, no. 3, pp. 313-319, 2014. doi: 10.1007/s11633-014-0794-5
Citation: Jie Chen, Cun-Bao Ma and Dong Song. Kinetic Characteristics Analysis of Aircraft During Heavy Cargo Airdrop. International Journal of Automation and Computing, vol. 11, no. 3, pp. 313-319, 2014. doi: 10.1007/s11633-014-0794-5
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