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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52276

Title: Mathematical Modeling of Hybrid Intelligent System to Longitudinal Landing Control Design
Authors: Jhen-Tang Dai
Jih-Gau Juang
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Keywords: Fuzzy sliding mode control
particle swarm optimization
automatic landing
wind disturbance
Date: 2018-11
Issue Date: 2019-06-21T03:33:34Z
Publisher: Journal of Intelligent & Fuzzy Systems (SCI)
Abstract: Abstract: The purpose of this study is to integrate fuzzy sliding mode control (FSMC) into automatic landing system (ALS) to enhance aircraft safety during landing. FSMC can provide compensation signal to PID controller. The adaptive weight particle swarm optimization (AWPSO) and grey-based particle swarm optimization (GPSO) are applied to tune the matrix of controller parameters of the sliding surface. Fuzzy rules are applied to sliding mode controller to find the gain of the differential sliding function, sliding condition can be satisfied and stable control system can be achieved. PID controller is the main controller of the aircraft and it is also used for the FSMC controller in learning process. In this study, the proposed intelligent system can improve the ALS to against the wind disturbance and control aircraft landing in severe condition. Stability analysis is provided in the controller design by the use of Lyapunov theory.
Relation: 36(2) pp.1287-1299
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52276
Appears in Collections:[通訊與導航工程學系] 期刊論文

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