Algorithmic support of low-altitude aircraft flight based on the hazard analysis of the flight situation

V. Malyshev, A. S. Leontyev, S. P. Poluektov, Е.М. Volotov
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Abstract

Low-altitude flight of an aircraft is an effective, but at the same time, a very complex tactical technique, during which the crew does not always have the opportunity to timely recognize the occurrence of an abnormal case, determine the way out of it and counteract an aviation accident development. Despite many advantages of the automatic mode of low-altitude flight performing, its practical implementation is associated with a number of features and disadvantages, which determined the preference for the manual mode of low-altitude flight control. These are the presence of telltale factors, limited ability of performing flights at night and in difficult weather conditions, insufficient reliability etc. The considered features determined the relevance of the of low-altitude flight safety ensuring problem in relation to the manual control mode. As a result of an experimental study of the low-altitude flight performing process in a manual control mode, it was found that when performing manually-controlled low-altitude flight, a hazard assessment of the flight situation becomes pivotal. However the crew being under such conditions is not always able to correctly assess the flight situation hazard due to a combination of objective reasons. The current state of the adaptive and on-board flight safety systems theory makes it possible to increase the safety of the manuallycontrolled low-altitude flight by using adaptive control algorithms based on the flight situation hazard assessment. To solve this problem an adaptive control algorithm is proposed that ensures the formation of a security corridor in the longitudinal control channel, where the upper limit is determined by the critical value of the aircraft detection hazard, and the lower limit is determined by the critical value of the error in maintaining a given flight altitude. For a continuous assessment of the flight situation hazard and the timely formation of control signals the complex information about the current true flight altitude and the foreground is needed. Taking into account the peculiarities of low-altitude flight a digital terrain map containing data on natural and artificial obstacles along the flight route is a more rational source of information, that will make it possible to predict the development of the flight situation hazard. The above reasoning makes it possible to form an aircraft low-altitude flight adaptive control algorithm. A distinctive feature of the proposed algorithm is the implementation of a combined control variety where the pilot is provided with ample manual control opportunities within the security corridor, and the automatic flight control system is assigned the role of a safety subsystem that ensures control and timely return of the flight situation to normal flight conditions. The presented algorithm will allow to increase the crew logical-analytical activity information support during continuous analysis of the existing flight situation due to the formation of protective control actions based on the current flight situation hazard analysis.
基于飞行态势危害分析的低空飞机飞行算法支持
飞机的低空飞行是一种有效的,但同时也是一种非常复杂的战术技术,在此过程中,机组人员并不总是有机会及时识别异常情况的发生,确定摆脱异常情况的方法,并应对航空事故的发展。尽管低空飞行执行自动模式具有许多优点,但其实际实施中存在许多特点和缺点,这决定了人们对低空飞行控制手动模式的偏好。这些因素包括:存在一些暴露的因素,在夜间和恶劣天气条件下执行飞行的能力有限,可靠性不足等。所考虑的特点决定了低空飞行安全保障问题与手动控制方式的相关性。通过对手控模式下低空飞行执行过程的实验研究,发现在进行手控低空飞行时,对飞行态势进行危险评估是关键。然而,由于客观原因的综合作用,机组人员在这种情况下并不总是能够正确地评估飞行状况危险。自适应和机载飞行安全系统理论的现状使得基于飞行态势危害评估的自适应控制算法能够提高人工控制低空飞行的安全性。针对这一问题,提出了一种保证纵向控制通道形成安全通道的自适应控制算法,其上限由飞机探测危险的临界值确定,下限由保持给定飞行高度误差的临界值确定。为了对飞行态势危害进行持续评估,及时形成控制信号,需要有关当前真实飞行高度和前景的复杂信息。考虑到低空飞行的特点,包含飞行路线沿线自然和人工障碍物数据的数字地形图是一种更合理的信息来源,可以预测飞行态势危险的发展。上述推理使飞机低空飞行自适应控制算法的形成成为可能。该算法的一个显著特点是实现了一种组合控制方式,在安全通道内为飞行员提供了充足的手动控制机会,自动飞行控制系统被赋予安全子系统的角色,以确保控制并及时将飞行状况恢复到正常飞行状态。所提出的算法将允许在现有飞行情况的持续分析中增加机组逻辑分析活动信息支持,因为基于当前飞行情况危害分析形成保护性控制行动。
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