Optimal control model as an approach to the synthesis of a supersonic transport control system

Q3 Earth and Planetary Sciences
Ilias Kh. Irgaleev, Aleksandr V. Efremov, Alyona Yu. Grishina, Eugene V. Efremov
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引用次数: 0

Abstract

The present article considers a modified optimal control model (MOCM) of the pilot. The main idea behind the proposed modification is moving the time delay element, initially located at the input of the model, to its output. Such relocation eliminates the need for introducing a “predictor” block to the model’s structure, which simplifies the algorithm for calculating the parameters of the optimal model. Besides a description of the modified algorithm, the paper assesses the agreement between the performance achieved using the algorithm and the results of experimental investigations. In addition, the results of modeling are compared to the results obtained using a structural model. The comparison is carried out for a model of a second-generation supersonic transport for this vehicle. The MOCM’s potential in evaluating alternative flight control system laws is discussed as well.

优化控制模型作为合成超音速运输控制系统的一种方法
本文考虑了一种改进的飞行员最优控制模型(MOCM)。提出的修改背后的主要思想是将最初位于模型输入端的延时元素移动到其输出。这种重新定位消除了在模型结构中引入“预测器”块的需要,从而简化了计算最优模型参数的算法。除了对改进算法的描述外,本文还评估了使用该算法获得的性能与实验研究结果之间的一致性。此外,还将模型计算结果与结构模型计算结果进行了比较。并对该型飞行器的第二代超音速运输机进行了比较。此外,还讨论了MOCM在评估备选飞行控制系统律方面的潜力。
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
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
期刊介绍: Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion
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