Finding the optimal position of the DME with the aim of reducing probability airplane landing error in non-ideal conditions

Document Type : Original Article

Authors
Department of Aerospace Engineering , International Pardis Kish , Tehran University , Iran.
Abstract
Under adverse weather conditions, distance measuring equipment (DME) must be optimally positioned to reduce landing errors. Interval type-2 fuzzy logic is employed as an effective method for determining the optimal placement of DME. This approach evaluates factors such as weather conditions, flight paths, and other relevant variables fuzzily to determine the optimal DME positioning. When there are unequal distances from the normal landing strip for each sensor, identifying the optimal location for secondary sensor placement is crucial. This system operates dynamically, identifying the presumed central landing line based on the initial placement of each sensor, and ultimately determining the optimal position for the secondary sensor. In our experiments, the ideal distances from the aircraft to the sensors were 131.5 meters and 132 meters, respectively, allowing the system to accurately determine the appropriate landing spot. In non-ideal conditions, with distances of 134 meters and 129.4 meters, the system indicated that closer proximity to the second sensor led to an unsuitable central landing line. The results demonstrate that using interval type-2 fuzzy logic can accurately identify and optimize sensor placement, thereby reducing the likelihood of landing errors in adverse weather conditions.
Keywords
Subjects

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Volume 2, Issue 2 - Serial Number 3
February 2023
Pages 127-136

  • Receive Date 20 April 2024
  • Revise Date 06 August 2024
  • Accept Date 18 September 2024
  • First Publish Date 18 September 2024
  • Publish Date 21 January 2024