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 | |
会议名称 | the 14th IEEE International Conference on Automation Science and Engineering (CASE 2018) |
会议日期 | August 20-24, 2018 |
会议地点 | Munich, Germany |
出版者 | IEEE Computer Society |
摘要 | 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. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23653 |
专题 | 综合信息系统研究中心 |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 2.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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