优化控制模型作为合成超音速运输控制系统的一种方法

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

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

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.

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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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