Direct Inverse Control using an Artificial Neural Network for the Autonomous Hover of a Helicopter

被引：0
|
作者：
Frye, Michael T. [1 ]
Provence, Robert S. [2 ]
机构：
[1] Univ Incarnate Word, Dept Engn, San Antonio, TX USA
[2] NASA, Lyndon B Johnson Space Ctr, Aerosci & Flight Mech Div, Houston, TX 77058 USA
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC) | 2014年
关键词：
Direct Inverse Control; Neural Network; Flight Control; UAV helicopter;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the initial results of a research project which investigates the application of the Direct Inverse Control technique to the problem of the Autonomous Hover of a quadrotor UAV Helicopter. The goal of the project is to investigate the effectiveness of the Direct Inverse Control technique using an Artificial Neural Network to learn and then cancel out the Hover dynamics of the quadrotor UAV Helicopter under various environmental conditions during a hover mode. The project is to evaluate how robust the control technique is to uncertainty and change in nonlinear dynamics.
引用
收藏
页码：4121 / 4122
页数：2
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