Control Allocation Based on Fuzzy Approach for Landing Phase of Specific Aircraft

Document Type : Dynamics, Vibrations, and Control

Authors

1 Corresponding author: Assistant Professor, Faculty of Mechanical Engineering, Malek-e-Ashtar Unversity of Technology, Isfahan, Iran

2 M.Sc. Student, Faculty of Mechanical Engineering, Malek-e-Ashtar Unversity of Technology, Isfahan, Iran

3 Assistant Professor, Faculty of Mechanical Engineering, Malek-e-Ashtar Unversity of Technology, Isfahan, Iran

Abstract

The main objective of this article is to apply the control allocation approach for the landing phase of the F/A-18 aircraft. For this purpose, the non-linear three-degree-of-freedom model of the aircraft is used, and the intelligent control allocation approach, based on fuzzy logic, is utilized to design the longitudinal flight control system. The actuators involved in the aircraft landing process are the elevator angle and the thrust vector control angle of the aircraft engine. By allocating control signals between the two mentioned actuators, the plane starts the process of lowering the height and finally reaches the ground level. To improve the efficiency of the fuzzy controller, reduce the control effort and increase the accuracy and quality of the landing, the genetic algorithm based on the NSGA-II method is used and the variables of the fuzzy controller are modified. The results obtained from the simulation show that the proposed control allocation approach has a high ability to control and stabilize the aircraft in the landing process. Also, the output variables converge to a desired value and the aircraft completes the landing process with proper accuracy and low control effort.

Highlights

  • Applying the control allocation approach for the landing phase of the F/A-18 aircraft
  • The allocation approach is based on fuzzy logic.
  • The genetic algorithm based on the NSGA-II method is used and the variables of the fuzzy controller are modified.

Keywords

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Aerospace Mechanics
Volume 19, Issue 2 - Serial Number 72
Serial No. 72, Summer Quarterly
September 2023
Pages 1-10

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History

  • Receive Date: 23 October 2022
  • Revise Date: 07 November 2022
  • Accept Date: 20 December 2022
  • Publish Date: 21 April 2023

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