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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40871

Title: Applications of Resource Allocation Network and Optimization Algorithms to Automatic Landing Control
Authors: Jih-Gau Juang;Cheng-Yen Yu;Chih-Min Lin
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2014
Issue Date: 2017-02-07T03:16:21Z
Publisher: Applied Mathematics & Information Sciences
Abstract: 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.
Relation: 8(1)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40871
Appears in Collections:[通訊與導航工程學系] 期刊論文

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