用于滚转率自动驾驶仪的多速率多输入多输出系统的特征结构优化

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
A. Roosta, Alireza Soltanimehr
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引用次数: 0

摘要

摘要本文针对多输入多输出(MIMO)多速率系统,提出了一种特征结构问题的最优解,该解显著减少了所需的控制工作量。该技术不仅最小化了状态传输和控制信号变化的幅度,而且降低了对多速率MIMO系统中由模型阶数降低的相互作用引起的内部采样影响的敏感性。在本研究中,使用了一种具有非线性约束的约束本征结构方法。本研究的新颖之处在于,通过使用偏导数,提出了一种优化非线性约束本征结构方法的增益优化过程。首先,对该方法进行了解释,然后将所需的方法应用于优化操作,最后,通过数值示例和仿真显示结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eigen-structure problem optimization for multirate, multi-input multi-output systems applied to a roll rate autopilot
Abstract In this paper, an optimal solution to the eigen-structure problem that dramatically reduces the control effort required for a multi-input multi-output (MIMO) multirate system is proposed. This technique not only minimize the amplitude of state transmission and control signal changes but also reduce the sensitivity to the effects of internal sampling in multirate MIMO systems results from interactions of the model order reduction. In this study, a constrained eigen-structure method with nonlinear constraints is used. The novelty of this study is that by using partial derivatives, a gain optimization process to optimize the nonlinearly constrained eigen-structure method is proposed. First, this method is explained, and then the desired method is applied for optimization operations, and finally, the results will be shown with a numerical example and a simulation.
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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