Application of intelligent control to aircraft landing system

Teng-Chieh Yang; Jih-Gau Juang

doi:10.59400/adecp3604

Application of intelligent control to aircraft landing system

Teng-Chieh Yang Primax Electronics Ltd., Taipei 114, Taiwan
Jih-Gau Juang Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan

Article ID: 3604

DOI: https://doi.org/10.59400/adecp3604

Keywords: intelligent control; CMAC; fuzzy systems; landing system, turbulence; system stability

Abstract

Conventional automatic landing systems (ALS) primarily utilize proportional integral-derivative (PID) controllers in combination with gain-scheduling techniques. Their designs are generally constrained to the specific flight envelopes established by Federal Aviation Administration regulations. However, when environmental disturbances exceed these operational boundaries, the ALS may be deactivated. Consequently, developing a more intelligent ALS is crucial for maintaining safety across a broader spectrum of turbulent conditions. This paper proposes an intelligent control method that integrates the Cerebellar Model Articulation Controller (CMAC) with a fuzzy logic system for the development of an advanced aircraft automatic landing system. Multiple fuzzy modules are embedded within the CMAC structure: Type-1 fuzzy CMAC, adaptive Type-1 fuzzy CMAC, Type-2 fuzzy CMAC, and adaptive Type-2 fuzzy CMAC. Flight control principles are incorporated into its design. The Lyapunov stability theory is applied to ensure system stability, and adaptive learning rules are established to maintain this stability. Simulation results verify that the proposed controller can accurately track the desired landing trajectory and effectively adapt to various environmental conditions. Therefore, even under turbulent conditions, the adaptive fuzzy CMAC achieves reliable aircraft guidance and landing performance.

Published

2025-09-30

How to Cite

Yang, T.-C., & Juang, J.-G. (2025). Application of intelligent control to aircraft landing system. Advances in Differential Equations and Control Processes, 32(3). https://doi.org/10.59400/adecp3604

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Issue

Vol. 32 No. 3 (2025)

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Article

This work is licensed under a Creative Commons Attribution 4.0 International License.

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