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On the Design of Fuzzy Adaptive State Estimator for a Flexible Air-breathing Hypersonic Vehicle
Tao Xinlong1,2; Yi Jianqiang1,2; Tan Xiangmin2; Liu Zhen2
2018
Conference Namethe 14th IEEE International Conference on Automation Science and Engineering (CASE 2018)
Conference DateAugust 20-24, 2018
Conference PlaceMunich, Germany
PublisherIEEE Computer Society
Abstract

Flexible air-breathing hypersonic vehicle (FAHV) inevitably suffers unknown aerodynamic disturbances as well as measurement noises in real flight. Although fixed-gain state estimator proposed in our previous work can effectively restrain the measurement noises, it may not perform well when large model disturbances and uncertainties exist. Focusing on this problem, we first study how the state estimator gains affect the transient process of FAHV. Then, the contradiction between accurate and fast state reconstruction versus high-frequency measurement noise suppression is analyzed. Based on the knowledge in choosing the state estimator gains, we design two fuzzy logic systems (FLSs), for the velocity channel and altitude channel respectively, to adapt the gains online. Finally, a novel knowledge-based fuzzy adaptive state estimator (FASE) is developed, which can realize accurate and fast state reconstruction in the transient process as well as high-frequency noise suppression in the steady-state process. Comparative simulation results verify the improvements of our proposed FASE on FAHV tracking performances.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23653
Collection综合信息系统研究中心
Affiliation1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
2.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Tao Xinlong,Yi Jianqiang,Tan Xiangmin,et al. On the Design of Fuzzy Adaptive State Estimator for a Flexible Air-breathing Hypersonic Vehicle[C]:IEEE Computer Society,2018.
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