A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults

To tolerate the limited faults such as thrust decline or actuator jamming of launch vehicles, an adaptive fault-tolerant control method based on radial basis function neural network (RBFNN) is proposed in this paper. The method is based on a limited faults dynamics model, and the baseline controller...

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Format: Article
Language:zho
Published: EDP Sciences 2020-06-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2020/03/jnwpu2020383p668/jnwpu2020383p668.html
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collection DOAJ
description To tolerate the limited faults such as thrust decline or actuator jamming of launch vehicles, an adaptive fault-tolerant control method based on radial basis function neural network (RBFNN) is proposed in this paper. The method is based on a limited faults dynamics model, and the baseline controller is designed based on the pole placement, using RBFNN to online identify and compensate the fault parameters and uncertain disturbances in the model. Then an adaptive fault-tolerant control law is designed based on Lyapunov theory. The simulation results show that the proposed adaptive control method can effectively ensure the attitude stability as well as control accuracy under the limited faults of launch vehicles, compared with the traditional PD control method.
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spelling doaj.art-20f362e2fa3e4d65871a807c888cc36b2023-10-02T01:54:09ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252020-06-0138366867610.1051/jnwpu/20203830668jnwpu2020383p668A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults01234Beijing Institute of Astronautical Systems EngineeringChina Aerospace Science and Technology CorporationBeijing Institute of Astronautical Systems EngineeringBeijing Institute of Astronautical Systems EngineeringBeijing Institute of Astronautical Systems EngineeringTo tolerate the limited faults such as thrust decline or actuator jamming of launch vehicles, an adaptive fault-tolerant control method based on radial basis function neural network (RBFNN) is proposed in this paper. The method is based on a limited faults dynamics model, and the baseline controller is designed based on the pole placement, using RBFNN to online identify and compensate the fault parameters and uncertain disturbances in the model. Then an adaptive fault-tolerant control law is designed based on Lyapunov theory. The simulation results show that the proposed adaptive control method can effectively ensure the attitude stability as well as control accuracy under the limited faults of launch vehicles, compared with the traditional PD control method.https://www.jnwpu.org/articles/jnwpu/full_html/2020/03/jnwpu2020383p668/jnwpu2020383p668.htmlradial basis function neural networkactive fault-tolerant controllimited faultsadaptive control
spellingShingle A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults
Xibei Gongye Daxue Xuebao
radial basis function neural network
active fault-tolerant control
limited faults
adaptive control
title A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults
title_full A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults
title_fullStr A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults
title_full_unstemmed A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults
title_short A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults
title_sort neural network adaptive fault tolerant control method for launch vehicles with the limited faults
topic radial basis function neural network
active fault-tolerant control
limited faults
adaptive control
url https://www.jnwpu.org/articles/jnwpu/full_html/2020/03/jnwpu2020383p668/jnwpu2020383p668.html