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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40841

Title: Real Time Neural Network Control of a Twin Rotor System
Authors: Jih-Gau Juang;Ting-Kai Liu
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2011
Issue Date: 2017-02-07T02:22:27Z
Publisher: Advanced Materials Research
Abstract: Abstract: Real time intelligent control scheme that utilizes neural network to perform PID controller to control a twin rotor system is proposed. An experimental propeller setup called the twin rotor multi-input multi-output system (TRMS) is used in this study. The use of single neuron in PID control reduces system computing time that makes on-line learning and real time control feasible. The proposed control scheme can drive the TRMS to follow desired attitudes. The pitch angle and the azimuth angle in the condition of cross-coupled between vertical and horizontal axes is considered. Furthermore, the control scheme can overcome external disturbance. Simulation results show that the new approach can improve attitude tracking performance and the neural network-PID controller can work in real time.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40841
Appears in Collections:[通訊與導航工程學系] 期刊論文

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