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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Series: | International Journal of Aerospace Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/5931967 |
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doaj-f9ba2c55ada746dfb66e28cb6063cde72020-11-25T00:51:45ZengHindawi LimitedInternational 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 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jikun Ye Humin Lei Jiong Li |
spellingShingle |
Jikun Ye Humin Lei Jiong Li Novel Fractional Order Calculus Extended PN for Maneuvering Targets International Journal of Aerospace Engineering |
author_facet |
Jikun Ye Humin Lei Jiong Li |
author_sort |
Jikun Ye |
title |
Novel Fractional Order Calculus Extended PN for Maneuvering Targets |
title_short |
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_sort |
novel fractional order calculus extended pn for maneuvering targets |
publisher |
Hindawi Limited |
series |
International Journal of Aerospace Engineering |
issn |
1687-5966 1687-5974 |
publishDate |
2017-01-01 |
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. |
url |
http://dx.doi.org/10.1155/2017/5931967 |
work_keys_str_mv |
AT jikunye novelfractionalordercalculusextendedpnformaneuveringtargets AT huminlei novelfractionalordercalculusextendedpnformaneuveringtargets AT jiongli novelfractionalordercalculusextendedpnformaneuveringtargets |
_version_ |
1725243994100727808 |