论文:2020,Vol:38,Issue(3):668-676
引用本文:
朱海洋, 吴燕生, 容易, 秦旭东, 陈宇. 适应有限故障的运载火箭神经网络自适应容错控制[J]. 西北工业大学学报
ZHU Haiyang, WU Yansheng, RONG Yi, QIN Xudong, CHEN Yu. A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults[J]. Northwestern polytechnical university

适应有限故障的运载火箭神经网络自适应容错控制
朱海洋1, 吴燕生2, 容易1, 秦旭东1, 陈宇1
1. 北京宇航系统工程研究所, 北京 100076;
2. 中国航天科技集团有限公司, 北京 100048
摘要:
针对运载火箭推力下降或伺服机构卡死等有限故障,提出了一种基于径向基神经网络(radial basis function neural network,RBFNN)的自适应容错姿态控制方法。该方法在有限故障动力学模型基础上,采用极点配置设计基线控制器,使用RBFNN在线辨识模型的故障参数和不确定干扰,最后基于Lyapunov理论设计自适应容错控制律对故障模型和干扰进行补偿。仿真结果表明,在有限故障工况下,该方法与传统PD方法相比,对故障具有较好的自适应能力,并能满足姿态稳定和控制精度要求。
关键词:    径向基神经网络    主动容错控制    有限故障    自适应控制   
A Neural Network Adaptive Fault-Tolerant Control Method for Launch Vehicles with the Limited Faults
ZHU Haiyang1, WU Yansheng2, RONG Yi1, QIN Xudong1, CHEN Yu1
1. Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China;
2. China Aerospace Science and Technology Corporation, Beijing 100048, China
Abstract:
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.
Key words:    radial basis function neural network    active fault-tolerant control    limited faults    adaptive control   
收稿日期: 2019-09-09     修回日期:
DOI: 10.1051/jnwpu/20203830668
通讯作者:     Email:
作者简介: 朱海洋(1995-),北京宇航系统工程研究所硕士研究生,主要从事运载火箭姿态系统总体设计及智能控制研究。
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