Robust predictive attitude control with stochastic dynamics

Elia Violino, K. Bousson
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引用次数: 0

Abstract

. The aim of this work is to design a robust predictive attitude controller when the disturbance is not known and it is modelled based on the stochastic theory and not directly from the environment and its laws. The paper starts with a brief introduction about the interest of attitude control, the state of the art, the limitations and the objectives of the research work. Then it moves on the control model chosen for the work. The main part is related to the modelling of the stochastic disturbance and the actuation of the controller. The results obtained match the initial idea about the capability of the controller to work under an unknown disturbance torque. Indeed, the graphical results show, for all the different conditions considered, that the required attitude is always reached, meaning that the aim of this work was achieved. MSC 2010: 93E03, 93E25
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随机动力学的鲁棒预测姿态控制
这项工作的目的是设计一种鲁棒预测姿态控制器,当扰动未知时,它是基于随机理论建模的,而不是直接来自环境及其定律。本文首先简要介绍了姿态控制的研究兴趣、研究现状、局限性和研究目标。然后,它继续为工作选择的控制模型。主要部分涉及随机扰动的建模和控制器的驱动。所获得的结果与关于控制器在未知扰动转矩下工作的能力的初始想法相匹配。事实上,图形结果表明,对于所考虑的所有不同条件,始终达到所需的态度,这意味着这项工作的目标已经实现。MSC 2010:93e0393e25
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来源期刊
CiteScore
2.00
自引率
10.00%
发文量
30
审稿时长
25 weeks
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