Attitude Control of a Quadrotor Using Brain Emotional Learning Based Intelligent Controller

被引：0
|
作者：
Jafari, Mohammad [1 ]
Shahri, Alireza Mohammad [2 ]
Shouraki, Saeed Bagheri [3 ]
机构：
[1] Islamic Azad Univ, Dept Mechatron, Qazvin Branch, Qazvin, Iran
[2] Iran Univ Sci & Technol, Dept Elect Engn, Tehran, Iran
[3] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran
来源：
2013 13TH IRANIAN CONFERENCE ON FUZZY SYSTEMS (IFSC) | 2013年
关键词：
BELBIC; Quadrotor; VTOL; Emotional Learning; Intelligent Control;
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：
For the first time in this paper, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied to attitude control of a Quadrotor. BELBIC controller is designed based on the computational model of emotional learning process in mammalian brain limbic system. Proposed control algorithm is employed because of the learning ability and independency to system model and also satisfactory performances dealing with disturbances and changing in system parameters. Quadrotor is an Unmanned Aerial Vehicle (UAV) which has the capability of Vertical Take-Off and Landing (VTOL). Simulation results of controlling Quadrotor with BELBIC are addressed. Also pitch angle disturbance is applied due to examine system performances.
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页数：5
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