Adaptive neuro-fuzzy sliding mode control guidance law with impact angle constraint
Li, Qingchun; Zhang, Wensheng; Han, Gang; Yang, Yehui
发表期刊IET CONTROL THEORY AND APPLICATIONS
2015-09-17
卷号9期号:14页码:2115-2123
文章类型Article
摘要This study presents a guidance law to intercept non-manoeuvring targets at a desired impact angle. The desired impact angle, defined in terms of a desired line-of-sight angle, is achieved by selecting the missile's lateral acceleration to enforce the sliding mode on a sliding surface. Then, the authors use the Lyapunov stability theory to prove the stability of the proposed non-linear sliding surface. Furthermore, they introduce the adaptive neuro-fuzzy inference system (ANFIS) to adaptively update the additional control command and reduce the high-frequency chattering of sliding mode control (SMC). The proposed guidance law, denoted ANFSMC guidance law with impact angle constraint, combines the SMC methodology with ANFIS to enhance the robustness and reduce the chattering of the system. The effectiveness of the ANFSMC guidance law is also verified by the numerical simulations.
WOS标题词Science & Technology ; Technology
DOI10.1049/iet-cta.2014.1206
关键词[WOS]ANGULAR CONSTRAINT ; TERMINAL GUIDANCE ; TIME ; DESIGN ; IDENTIFICATION ; OPTIMIZATION ; NETWORKS ; SYSTEMS ; ANFIS
收录类别SCI
语种英语
WOS研究方向Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号WOS:000360823800007
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8969
专题多模态人工智能系统全国重点实验室_人工智能与机器学习(杨雪冰)-技术团队
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, 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
Li, Qingchun,Zhang, Wensheng,Han, Gang,et al. Adaptive neuro-fuzzy sliding mode control guidance law with impact angle constraint[J]. IET CONTROL THEORY AND APPLICATIONS,2015,9(14):2115-2123.
APA Li, Qingchun,Zhang, Wensheng,Han, Gang,&Yang, Yehui.(2015).Adaptive neuro-fuzzy sliding mode control guidance law with impact angle constraint.IET CONTROL THEORY AND APPLICATIONS,9(14),2115-2123.
MLA Li, Qingchun,et al."Adaptive neuro-fuzzy sliding mode control guidance law with impact angle constraint".IET CONTROL THEORY AND APPLICATIONS 9.14(2015):2115-2123.
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