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