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Robust model predictive control based on polytopic LPV model for hypersonic vehicles
Hu CF(胡超芳); Xie QQ(解倩倩); Zhang SK(张少康); Zou T(邹涛)
Department信息服务与智能控制技术研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages972-976
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187820
WOS IDWOS:000380502300183
Contribution Rank2
ISSN2379-7711
ISBN978-1-4799-8730-6
KeywordHypersonic Vehicle Polytopic Lpv Model Tensorproduct Model Predictive Control Norm-bounding
AbstractConsidering the air-breathing hypersonic vehicle (AHV) system with strong nonlinearity and external disturbance, an off-line robust model predictive controller (RMPC) is presented based on the polytopic LPV model under the effects of disturbances. Firstly, Jacobian linearization and tensor-product modeling method are used to approximately transform the nonlinear AHV system into a polytopic LPV model, which provides the condition to establish the RMPC controller by linear matrix inequality (LMI). Secondly, the application of norm-bounding technology makes the errors between real-time states with disturbance and the reference setpoint states restricted into an invariant ellipsoid. Simulation has demonstrated the effectiveness of the proposed approach.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/18543
Collection信息服务与智能控制技术研究室
Affiliation1.School of Electrical Engineering and Automation, Tianjin University, Tianjin, China
2.Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang Liaoning, China
Recommended Citation
GB/T 7714
Hu CF,Xie QQ,Zhang SK,et al. Robust model predictive control based on polytopic LPV model for hypersonic vehicles[C]. Piscataway, NJ, USA:IEEE,2015:972-976.
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