Finding the optimal position of the distance measuring device with the aim of reducing risk and uncertainty in the aircraft landing phase

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Moradi Rad Masoud; Kousari Amirreza; Amiri Atashgah Mohammadali

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Journal Paper

Paper Information

Journal: Science and Technology in Mechanical Engineering Year:2024 | Volume:3 | Issue:1 Page(s): 217-224

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Information Journal Paper

Title

Finding the optimal position of the distance measuring device with the aim of reducing risk and uncertainty in the aircraft landing phase

Author(s)

Moradi Rad Masoud | Kousari Amirreza | Amiri Atashgah Mohammadali | Issue Writer Certificate

Keywords

Optimum landingQ4

Navigation SystemsQ4

distance measurement equipmentQ4

positioning dynamicsQ4

Turbulence ReduceQ4

Abstract

Under non-ideal weather conditions, distance measuring equipment (DME) must be optimally positioned to reduce landing errors. In this context, interval type-2 fuzzy logic is used as an efficient method for determining the optimal position of the DME. With this method, factors such as weather conditions, flight path, and other related variables are evaluated fuzzily to determine the optimal position of the DME. When unequal distances from the normal landing strip exist for each of the DMEs, it is necessary to identify the most suitable location for the secondary DME. To this end, the system is designed dynamically so that after identifying the assumed centerline based on the initial placement of each DME, the optimal location for the secondary DME is ultimately determined. These conditions only apply if both DMEs have unequal distances. The results show that the use of the Grey Wolf Optimization (GWO) algorithm has a significant impact on improving aircraft landing conditions. With this algorithm, the reduction in the impact of turbulence has increased from 20% to 40%. The probability of landing error has decreased from 10% to 5%, and measurement accuracy has increased from 85% to 95%. These results indicate a substantial improvement in landing safety under non-ideal conditions. Given the reduction in the impact of turbulence and the increase in measurement accuracy, the GWO algorithm plays a crucial role in enhancing the safety and efficiency of aircraft landings.

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