Novel Fractional Order Calculus Extended PN for Maneuvering Targets

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 bas...

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Main Authors: Jikun Ye, Humin Lei, Jiong Li
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2017/5931967
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author Jikun Ye
Humin Lei
Jiong Li
author_facet Jikun Ye
Humin Lei
Jiong Li
author_sort Jikun Ye
collection DOAJ
description 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.
format Article
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issn 1687-5966
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language English
publishDate 2017-01-01
publisher Wiley
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series International Journal of Aerospace Engineering
spelling doaj-art-f9ba2c55ada746dfb66e28cb6063cde72025-08-20T03:20:04ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742017-01-01201710.1155/2017/59319675931967Novel Fractional Order Calculus Extended PN for Maneuvering TargetsJikun Ye0Humin Lei1Jiong Li2Air and Missile Defense College, Air Force Engineering University, Shaanxi, Xi’an 710051, ChinaAir and Missile Defense College, Air Force Engineering University, Shaanxi, Xi’an 710051, ChinaAir and Missile Defense College, Air Force Engineering University, Shaanxi, Xi’an 710051, ChinaBased 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.http://dx.doi.org/10.1155/2017/5931967
spellingShingle Jikun Ye
Humin Lei
Jiong Li
Novel Fractional Order Calculus Extended PN for Maneuvering Targets
International Journal of Aerospace Engineering
title Novel Fractional Order Calculus Extended PN for Maneuvering Targets
title_full Novel Fractional Order Calculus Extended PN for Maneuvering Targets
title_fullStr Novel Fractional Order Calculus Extended PN for Maneuvering Targets
title_full_unstemmed Novel Fractional Order Calculus Extended PN for Maneuvering Targets
title_short Novel Fractional Order Calculus Extended PN for Maneuvering Targets
title_sort novel fractional order calculus extended pn for maneuvering targets
url http://dx.doi.org/10.1155/2017/5931967
work_keys_str_mv AT jikunye novelfractionalordercalculusextendedpnformaneuveringtargets
AT huminlei novelfractionalordercalculusextendedpnformaneuveringtargets
AT jiongli novelfractionalordercalculusextendedpnformaneuveringtargets