On Applications of a new method for computing optimal non-linear feedback controls

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
H. Bourdache-Siguerdidjane
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引用次数: 8

Abstract

A new method of computing optimal non-linear feedbacks is used for regulating the angular momentum of spacecraft using both reaction jets and flywheels. It is shown that the optimal feedback law satisfies a system of first-order, quasi-linear, partial differential equations. The integration of these equations by the method of characteristics gives the non-linear feedback control. This control reduces the angular velocities of the space vehicle to zero by minimizing the fuel consumption. The optimal regulation, under reaction jet control alone and with the flywheels at fixed angular velocities, is considered. The special case where these velocities are zero leads readily to the known analytical solution of the feedback law, which is linear in the state although the dynamics is non-linear.
非线性最优反馈控制计算新方法的应用
提出了一种计算最优非线性反馈的新方法,用于反作用射流和飞轮对航天器角动量的调节。结果表明,最优反馈律满足一类一阶拟线性偏微分方程组。利用特征积分法对这些方程进行积分,得到非线性反馈控制。这种控制通过最小化燃料消耗来减少空间飞行器的角速度为零。考虑了单反喷控制和飞轮角速度固定时的最优调节。这些速度为零的特殊情况很容易导致已知的反馈律的解析解,它在状态下是线性的,尽管动力学是非线性的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Optimal Control Applications & Methods
Optimal Control Applications & Methods 工程技术-应用数学
CiteScore
3.90
自引率
11.10%
发文量
108
审稿时长
3 months
期刊介绍: Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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