文章基本信息

标题：An Adaptive Robust Guidance Law Designed by Non-smooth Continuous Control and Super-twisting Algorithm
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作者：Shuai Xu ; Min Gao ; Yi Wang 等
期刊名称：Engineering Letters
印刷版ISSN：1816-093X
电子版ISSN：1816-0948
出版年度：2019
卷号：27
期号：1
页码：256-262
出版社：Newswood Ltd
摘要：On the basis of non-smooth continuous controland super-twisting algorithm, an adaptive robust finite-timestable guidance law with attack angle constraint is proposed.For the nominal closed-loop system, a continuous non-smoothguidance law is presented on account of non-smooth control.By improving the fractional power function in the feedbackfunction to speed up the convergence process, the law has ashorter convergence time. Then, super-twisting algorithm isapplied to reduce the control command chattering. Besides,the parameters are adjusted by adaptive law to avoid the"excessive estimation" problem of the parameter upper limits.Simulation results under disturbance conditions indicate thatthe designed guidance law can effectively overcome influenceof random disturbances, and obtain higher guidance precisionthan the law with traditional sliding mode.
关键词：guidance law; non-smooth control;super-twisting algorithm; parameter adaptation; finite-time;stability