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Observer-based guidance law against maneuvering targets without line-of-sight angular rate information

机译:基于观察者的制导律,针对没有视线角速率信息的机动目标

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摘要

This paper presents a robust observer-based finite-time convergent guidance law to intercept maneuvering targets. To avoid the undesired chattering phenomenon existing in classical sliding mode control, the adaptive super-twisting algorithm is first introduced to design a robust guidance law to drive the line-of-sight (LOS) angular rates to a small region around the origin in finite time. The important feature of the proposed adaptation algorithm is in nonoverestimating the values of the guidance law gains, which is achieved by using a detector' scheme in the updating law. Moreover, with the proposed adaptive law, the presented guidance law requires no information on target maneuvers. Since the LOS angular rate is difficult for a pursuer to measure accurately for some seekers, a novel adaptive super-twisting observer is proposed to estimate it and a composite guidance law is then synthesized. Detailed finite-time stability analysis and comparison results with other guidance laws demonstrate the superiority of the proposed formulation.
机译:本文提出了一种鲁棒的基于观测器的有限时间收敛制导律,以拦截机动目标。为避免经典滑模控制中存在的不希望有的颤动现象,首先引入了自适应超扭曲算法,以设计鲁棒的导引律,以将视线角(LOS)角速度有限地驱动到原点周围的小区域时间。所提出的自适应算法的重要特征在于不高估指导律增益的值,这是通过在更新律中使用检测器方案来实现的。此外,对于拟议的自适应法则,所提出的指导法则不需要有关目标机动的信息。由于LOS角速度对于追求者来说很难精确地测量一些寻找者,因此提出了一种新型的自适应超扭曲观测器对其进行估计,然后合成了复合制导律。详细的有限时间稳定性分析以及与其他指导法则的比较结果证明了所提出配方的优越性。

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