Methods and Algorithms of Turbojet Engines Thrust Parameters Control Unerroric

Author:

Burova A Yu

Abstract

Abstract This report shows a real way for solving the problem of turbojet engine thrust parameters control in flight. The purpose of the research is the formalization of the digital methods and its algorithms for turbojet engines thrust parameters control unerroric. The methods of deductive digital signal processing and combined method of system analysis and approximate synthesis are used for such research. It is described the digital algorithms of unerroric methods wich are based on rotor speed control for turbojet engines of twin-engine airliner by its power plant control system. There are given the calculation formulas for those algorithms.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference17 articles.

1. Minimisation of asymmetry of thrust of the dual-flow turbojet engines of the airliner in accordance with the results of the system analysis of the thrust parameters;Burova;Asia Life Sciences Supplement,2019

2. «Unerroric» of multistage discrete Fourier transform of digital signal without arithmetic operations of multiplication;Burova;Amazonia Investiga,2020

3. Algorithm of Two Turbojets Thrust Asymmetry Minimization for Digital Control System of Twin-Engine Jet Airliner;Novichkov,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unerroric of assessment of professional competence for aviation personnel;Aerospace Systems;2023-10-13

2. Retrospective and prospects of harmonization for aviation equipment quality standards;INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3