Applications of Resource Allocation Network and Optimization Algorithms to Automatic Landing Control

Authors

Jih-Gau Juang, Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung 202,TaiwanFollow
Cheng-Yen Yu
Chih-Min Lin

Author Country (or Countries)

Taiwan

Abstract

This paper presents four optimization algorithms: Bacterial Foraging Optimization (BFO), Particle Swarm Optimization (PSO), Chaos Particle Swarm Optimization (CPSO) and Bacterial Swarm Optimization (BSO), and a neural network compensator: Resource Allocation Network (RAN) to aircraft automatic landing control design. When wind disturbance is beyond the originally scheduled flight condition, the aircraft automatic landing system can not be used in such environment during serious wind speed changes. The proposed intelligent control scheme can enhance the PID control performance of the autopilot and guide the aircraft to a safe landing in difficult environment.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/080146

Recommended Citation

Juang, Jih-Gau; Yu, Cheng-Yen; and Lin, Chih-Min (2014) "Applications of Resource Allocation Network and Optimization Algorithms to Automatic Landing Control," Applied Mathematics & Information Sciences: Vol. 08: Iss. 1, Article 46.
DOI: http://dx.doi.org/10.18576/amis/080146
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss1/46