Direct adaptive type-2 fuzzy neural network control for a generic hypersonic flight vehicle | |
Yang, Fang; Yuan, Ruyi; Yi, Jianqiang; Fan, Guoliang; Tan, Xiangmin | |
发表期刊 | SOFT COMPUTING |
2013-11-01 | |
卷号 | 17期号:11页码:2053-2064 |
文章类型 | Article |
摘要 | A direct adaptive interval type-2 fuzzy neural network (IT2-FNN) controller is designed for the first time in hypersonic flight control. The generic hypersonic flight vehicle is a multi-input multi-output system whose longitudinal model is high-order, highly nonlinear, tight coupling and most of all includes big uncertainties. Interval type-2 fuzzy sets with Gaussian membership functions are used in antecedent and consequent parts of fuzzy rules. The IT2-FNN directly outputs elevator deflection and throttle setting which make the GHFV track the altitude command signal and meanwhile maintain its velocity. The parameter adaptive law of IT2-FNN is derived using backpropagation method. The deviation of the control signal from the nominal dynamic inversion control signal is used as the reference output signal of IT2-FNN. The tracking errors of velocity and altitude are used as inputs of IT2-FNN. Tracking differentiator is designed to form an arranged transition process (ATP) of the command signal as well as ATP's high-order derivatives. Nonlinear state observer is designed to get the approximations of velocity, altitude as well as their high-order derivatives. Simulation results validate the effectiveness and robustness of the proposed controller especially under big uncertainties. |
关键词 | Type-2 Fuzzy Logic Fuzzy Neural Network Hypersonic Direct Adaptive Control Uncertainty |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | LOGIC SYSTEMS ; DESIGN ; SETS |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications |
WOS记录号 | WOS:000325822900008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4167 |
专题 | 综合信息系统研究中心 |
作者单位 | Chinese Acad Sci, Inst Automat, Beijing, Peoples R 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 | Yang, Fang,Yuan, Ruyi,Yi, Jianqiang,et al. Direct adaptive type-2 fuzzy neural network control for a generic hypersonic flight vehicle[J]. SOFT COMPUTING,2013,17(11):2053-2064. |
APA | Yang, Fang,Yuan, Ruyi,Yi, Jianqiang,Fan, Guoliang,&Tan, Xiangmin.(2013).Direct adaptive type-2 fuzzy neural network control for a generic hypersonic flight vehicle.SOFT COMPUTING,17(11),2053-2064. |
MLA | Yang, Fang,et al."Direct adaptive type-2 fuzzy neural network control for a generic hypersonic flight vehicle".SOFT COMPUTING 17.11(2013):2053-2064. |
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