Adaptive neuro-fuzzy sliding mode control guidance law with impact angle constraint

被引:19
作者
Li, Qingchun [1 ]
Zhang, Wensheng [1 ]
Han, Gang [1 ]
Yang, Yehui [1 ]
机构
[1] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
ANGULAR CONSTRAINT; TERMINAL GUIDANCE; TIME; DESIGN; IDENTIFICATION; OPTIMIZATION; NETWORKS; SYSTEMS; ANFIS;
D O I
10.1049/iet-cta.2014.1206
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:2115 / 2123
页数:9
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