个人信息
刘春生
性别:女
学位:工学博士学位

个人信息 Personal information

学历:博士研究生毕业 毕业院校:南京航空航天大学 所在单位:自动化学院 电子邮箱:

Integrated multiple-model adaptive fault identification and reconfigurable fault-tolerant control for Lead-Wing close formation systems

点击次数: 所属单位:自动化学院 发表刊物:INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 关键字:Multiple-model fault identification adaptive reconfigurable fault-tolerant control H-infinity control Lead-Wing close formation systems 摘要:This paper investigates the attitude and position tracking control problem for Lead-Wing close formation systems in the presence of loss of effectiveness and lock-in-place or hardover failure. In close formation flight, Wing unmanned aerial vehicle movements are influenced by vortex effects of the neighbouring Lead unmanned aerial vehicle. This situation allows modelling of aerodynamic coupling vortex-effects and linearisation based on optimal close formation geometry. Linearised Lead-Wing close formation model is transformed into nominal robust H-infinity models with respect to Mach hold, Heading hold, and Altitude hold autopilots; static feedback H-infinity controller is designed to guarantee effective tracking of attitude and position while manoeuvring Lead unmanned aerial vehicle. Based on H-infinity control design, an integrated multiple-model adaptive fault identification and reconfigurable fault-tolerant control scheme is developed to guarantee asymptotic stability of close-loop systems, error signal boundedness, and attitude and position tracking properties. Simulation results for Lead-Wing close formation systems validate the efficiency of the proposed integrated multiple-model adaptive control algorithm. ISSN号:0020-7721 是否译文: 发表时间:2018-01-01 合写作者:刘春,姜斌,张珂 通讯作者:刘春生,姜斌