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个人信息Personal Information
教授 博士生导师
招生学科专业：
控制科学与工程 -- 【招收博士、硕士研究生】 -- 自动化学院
电子信息 -- 【招收博士、硕士研究生】 -- 自动化学院
性别：女
毕业院校：英国伯明翰大学
学历：英国伯明翰大学
学位：哲学博士学位
所在单位：自动化学院
联系方式：ruiyun.qi@nuaa.edu.cn
电子邮箱：
Adaptive sliding mode fault-tolerant control for hypersonic vehicle based on radial basis function neural networks
点击次数：
所属单位：自动化学院
发表刊物：INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
关键字：Adaptive sliding mode fault-tolerant radial basis function neural network
摘要：In this article, an adaptive sliding mode fault-tolerant control scheme is proposed to address the problem of robust and fast attitude tracking for a hypersonic vehicle in the presence of unknown external disturbances, additive fault and partial loss of effectiveness fault. Firstly, the healthy and faulty models of the vehicle are given. Then, a radial basis function neural network is designed to estimate the unknown additive fault, and the adaptive method is applied to deal with the unknown partial loss of effectiveness fault. Combined with the sliding mode control theory, the fault-tolerant controllers are designed for the outer and inner loops of the faulty system, respectively. The adaptive laws are designed to update parameter estimates to implement the inner-loop controller. Closed-loop stability is analysed and simulation results verify the effectiveness of the proposed fault-tolerant control scheme.
ISSN号：1729-8814
是否译文：否
发表时间：2017-06-07
合写作者：Zhai, Rongyu,姜斌
通讯作者：齐瑞云