基于欧拉科学遗产解决推力矢量控制的创新问题

Yu. A. Sazonov, M. A. Mokhov, I. V. Gryaznova, V. Voronova, Kh. A. Tumanyan, Egor I. Konyushkov
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引用次数: 0

摘要

本研究旨在开发一种跨学科方法,以解决创新的推力矢量控制问题。该方法涉及在一个完整的几何球体内使用受控喷嘴向任意方向偏转推力矢量(速度矢量)时,对喷射过程提出工作假设。在提出工作假设时,使用 "大数据 "领域的工具对个别事实和科技信息进行了多边分析,评估了应用 "前瞻 "方法预测流体力学发展的机会。作者提出了新的数学模型,用于描述流道间流体介质质量流量分布中的推力矢量。发明专利支持科学成果的新颖性,这些成果揭示了流体学更积极发展的新机遇,可应用于简单和复杂的喷射系统,在流动中具有低能量密度和极高的能量密度。建议的方法以现代计算机为基础,是著名的欧拉著作的逻辑延续和发展。多流射流装置的计算机模拟主要集中在动力工程、碳氢化合物的生产和加工领域。这项研究工作的部分成果,包括专利设计开发和计算方法,也适用于机器人、无人驾驶车辆和可编程喷气系统的开发。作者认为,使用不同的人工智能方案,可以进一步发展解决发明问题的跨学科方法。Doi: 10.28991/CEJ-2023-09-11-017 全文:PDF
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Solving Innovative Problems of Thrust Vector Control Based on Euler's Scientific Legacy
This study aims to develop an interdisciplinary approach to solving innovative thrust vector control problems. The methodology involves the development of a working hypothesis about the ejection process when using a controlled nozzle to deflect the thrust vector (velocity vector) in any direction within a complete geometric sphere. When developing the working hypothesis, a multilateral analysis of individual facts and scientific and technical information is performed using tools in the "big data" area, assessing opportunities to apply the "Foresight" methodology for predicting the development of fluidics. The authors propose new mathematical models to describe the thrust vector in the distribution of the mass flow rate of the fluid medium between flow channels. Patents for inventions support the novelty of scientific results that reveal new opportunities for more active development of fluidics as applied to simple and complex jet systems with low and extremely high energy density in flows. The proposed methodology rests on a modern computer base and is a logical continuation and development of well-known Euler’s works. The computer simulation of multiflow jet devices mainly focuses on power engineering, production, and processing of hydrocarbons. Some results of this research work, including patented design developments and calculation methods, also apply to developing robotics, unmanned vehicles, and programable jet systems. The authors attribute further development of the interdisciplinary approach for solving inventive problems to the use of different AI options. Doi: 10.28991/CEJ-2023-09-11-017 Full Text: PDF
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