Information Support for Aircraft Crew in Takeoff and Landing Modes

IF 0.6 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
A. M. Shevchenko, B. V. Pavlov, G. N. Nachinkina
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引用次数: 0

Abstract

Methods for assessing the current state and forecasting critical events are developed in order to reduce the stress load on the pilot of an aircraft. These methods are based on the energy approach to flight control. Algorithms for forecasting the possibility of safe takeoff in the presence of high-rise obstacles on the trajectory are obtained. Forecast correction algorithms are introduced. Algorithms for calculating the braking distance depending on the runway condition are found in the modes of landing or emergency braking at takeoff. Some ways to correct forecasts considering the sequence and operation time of all braking devices are proposed. Model tests are carried out for the algorithms in the entire range of operating conditions.

Abstract Image

Abstract Image

为飞机起飞和着陆模式下的机组人员提供信息支持
摘要 为减少飞机驾驶员的压力负荷,开发了评估当前状态和预测关键事件的方法。这些方法基于飞行控制的能量方法。获得了在轨迹上存在高楼障碍物的情况下安全起飞可能性的预测算法。介绍了预测修正算法。在着陆或起飞时紧急制动的模式下,找到了根据跑道状况计算制动距离的算法。考虑到所有制动装置的顺序和运行时间,提出了一些修正预测的方法。在整个运行条件范围内对算法进行了模型试验。
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来源期刊
Automation and Remote Control
Automation and Remote Control 工程技术-仪器仪表
CiteScore
1.70
自引率
28.60%
发文量
90
审稿时长
3-8 weeks
期刊介绍: Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).
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