Research on RBV Control Strategy of Large Angle Maneuver
Considering the hypersonic aerospace vehicle, with high dynamic, strong varying parameters, strong nonlinear, strong coupling, and the complicated flight environment, conventional flight control methods based on linear system may become invalid. To the high precision and reliable control problem of...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/718125 |
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| _version_ | 1832560910876540928 |
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| author | Jiangtao Xu Na Luo Yu Fu Litong Wang Xiande Wu |
| author_facet | Jiangtao Xu Na Luo Yu Fu Litong Wang Xiande Wu |
| author_sort | Jiangtao Xu |
| collection | DOAJ |
| description | Considering the hypersonic aerospace vehicle, with high dynamic, strong varying parameters, strong nonlinear, strong coupling, and the complicated flight environment, conventional flight control methods based on linear system may become invalid. To the high precision and reliable control problem of this vehicle, nonlinear flight control strategy based on neural network robust adaptive dynamic inversion is proposed. Firstly, considering the nonlinear characteristics of aerodynamic coefficients varying with Mach numbers, attack angle, and sideslip angle, the complete nonlinear 6-DOF model of RBV is established. Secondly, based on the time-scale separation, using the nonlinear dynamic inversion control strategy achieves the pseudolinear decoupling of RBV. And then, using the neural network with single hidden layer approximates the dynamic inversion error for system model uncertainty. Next, the external disturbance and network approximating error are suppressed by robust adaptive control. Finally, using Lyapunov’s theory proves that all error signals of closed loop system are uniformly bounded finally under this control strategy. Nonlinear simulation verifies the feasibility and validity of this control strategy to the RBV control system. |
| format | Article |
| id | doaj-art-e85d9f44ac484f1f95fa391233f002e6 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-e85d9f44ac484f1f95fa391233f002e62025-02-03T01:26:32ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/718125718125Research on RBV Control Strategy of Large Angle ManeuverJiangtao Xu0Na Luo1Yu Fu2Litong Wang3Xiande Wu4Department of Astronautics Engineering, Harbin Engineering University, Harbin 150001, ChinaDepartment of Astronautics Engineering, Harbin Engineering University, Harbin 150001, ChinaBeijing Institute of Astronautical Systems Engineering, Beijing 100076, ChinaDepartment of Astronautics Engineering, Harbin Engineering University, Harbin 150001, ChinaDepartment of Astronautics Engineering, Harbin Engineering University, Harbin 150001, ChinaConsidering the hypersonic aerospace vehicle, with high dynamic, strong varying parameters, strong nonlinear, strong coupling, and the complicated flight environment, conventional flight control methods based on linear system may become invalid. To the high precision and reliable control problem of this vehicle, nonlinear flight control strategy based on neural network robust adaptive dynamic inversion is proposed. Firstly, considering the nonlinear characteristics of aerodynamic coefficients varying with Mach numbers, attack angle, and sideslip angle, the complete nonlinear 6-DOF model of RBV is established. Secondly, based on the time-scale separation, using the nonlinear dynamic inversion control strategy achieves the pseudolinear decoupling of RBV. And then, using the neural network with single hidden layer approximates the dynamic inversion error for system model uncertainty. Next, the external disturbance and network approximating error are suppressed by robust adaptive control. Finally, using Lyapunov’s theory proves that all error signals of closed loop system are uniformly bounded finally under this control strategy. Nonlinear simulation verifies the feasibility and validity of this control strategy to the RBV control system.http://dx.doi.org/10.1155/2014/718125 |
| spellingShingle | Jiangtao Xu Na Luo Yu Fu Litong Wang Xiande Wu Research on RBV Control Strategy of Large Angle Maneuver Abstract and Applied Analysis |
| title | Research on RBV Control Strategy of Large Angle Maneuver |
| title_full | Research on RBV Control Strategy of Large Angle Maneuver |
| title_fullStr | Research on RBV Control Strategy of Large Angle Maneuver |
| title_full_unstemmed | Research on RBV Control Strategy of Large Angle Maneuver |
| title_short | Research on RBV Control Strategy of Large Angle Maneuver |
| title_sort | research on rbv control strategy of large angle maneuver |
| url | http://dx.doi.org/10.1155/2014/718125 |
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