一种新的多速率系统控制律优化方法

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

摘要

摘要本研究的主要目的是提出一种方法,在存在不同采样率的情况下,实现多速率系统的最佳响应和性能,并避免此类系统中的数据丢失。本文提出了一种基于多速率数字系统的新方法。基于这种方法,除了在具有不同采样率的子系统之间建立连接外,我们将能够在不丢失数据的情况下保持这些系统的最佳性能。通过所提出的方法,不仅忽略了多速率系统中不同采样率的影响,而且我们可以在不影响系统性能和数据丢失的情况下连接具有不同速率操作的子系统,这简化了数字系统设计者的系统设计和传感器选择。这意味着设计者可以选择任何传感器,而不必考虑系统的采样率和操作率并将它们匹配在一起。最后,对导引头、自动驾驶仪、制导律和输出反馈之间具有不同采样率的制导导弹进行了仿真,并展示了其在运动场景中对目标的追击、打击和平滑运动的有效性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel optimal approach for control law of multi-rate systems with different rate operations
Abstract The main purpose of this study is to propose a method to achieve optimal response and performance of the multi rate systems in existence of different sampling rates and to avoid data losses in such systems. In this paper, a new approach based on the multi-rate digital system is proposed. Based on this method, we will be able to maintain optimal performance of these systems without losing data, in addition to establishing connections between subsystems with different sampling rates. By the proposed method, not only the effect of different sampling rates in multi-rate systems is ignored, but also, we can connect subsystems with different rate operations without compromising system performance and data loss which simplified system design and sensor selection by the digital system designers. This means the designer can choose any sensor without concerning about the sampling rate and the operation rate of the system and matching them together. Finally, a guided missile with different sampling rates between the seeker, autopilot, guidance law and the output feedback are simulated and its effective performance in pursuit, hitting and smooth motion toward the target in a motion scenario is shown.
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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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