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Novel Fractional Order Calculus Extended PN for Maneuvering Targets
Joint Authors
Source
International Journal of Aerospace Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-12
Country of Publication
Egypt
No. of Pages
9
Abstract EN
Based on the theory of fractional order calculus (FOC), a novel extended proportional guidance (EPN) law for intercepting the maneuvering target is proposed.
In the first part, considering the memory function and filter characteristic of FOC, the novel extended PN guidance algorithm is developed based on the conventional PN after introducing the properties and operation rules of FOC.
Further, with the help of FOC theory, the average load and ballistics characteristics of proposed guidance law are analyzed.
Then, using the small offset kinematic model, the robustness of the new guidance law against autopilot parameters is studied theoretically by analyzing the sensitivity of the closed loop guidance system.
At last, representative numerical results show that the designed guidance law obtains a better performance than the traditional PN for maneuvering target.
American Psychological Association (APA)
Ye, Jikun& Lei, Humin& Li, Jiong. 2017. Novel Fractional Order Calculus Extended PN for Maneuvering Targets. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1158132
Modern Language Association (MLA)
Ye, Jikun…[et al.]. Novel Fractional Order Calculus Extended PN for Maneuvering Targets. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1158132
American Medical Association (AMA)
Ye, Jikun& Lei, Humin& Li, Jiong. Novel Fractional Order Calculus Extended PN for Maneuvering Targets. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1158132
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158132