Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userDesign Adaptive Controller for Unmanned Aerial Vehicle
تصميم متحكم عصبوني لطائرة مسيرة
1413
1 170
4.0
(
1
)
Created by
Shamra Editor
Ask ChatGPT about the research
تم في هذا البحث التعرف على الطائرة المسيرة UAV كجملة غير خطيّة و تمّ تحصيل نموذج محاكي لهذه الجملة باستخدام إصدارات AiroSim. في المرحلة الأولى أجري تقريب النموذج غير الخطي للطائرة بنموذج خطي عند نقطة طيران معيّنة (نقطة توازن)، و تم تصميم متحكم تقليدي بالقنالين الطولي و العرضي باستخدام النموذج الخطي. في المرحلة التالية طبقنا المتحكّم التقليدي السابق على النموذج غير الخطي عند نقطة العمل السابقة نفسيها، و من ثمّ تم تعزيز المتحكم التقليدي المصمم بإدخال شبكة عصبونية إلى الجملة تقوم بعملية تعويض الخطأ الناتج عن تقريب النموذج غير الخطي بنموذج خطي.
The nonlinear model of Unmanned Aerial Vehicle( UAV) has been recognized. Airosim Matlab toolbox has been used to guarantee a simulation model for the Aerosonde.In the first stage, a linearization technique is used to calculate the mathematical model of the UAV at a specific operation point, then PID controller is used to stabilize this linear model. At the final stage, an augmented feedback neural network adaptive controller is applied to stabilize the overall nonlinear system.
References used
Anderson, John David ,2005-Introduction to flight. volume 199. McGraw-Hill Boston 636p
Stevens, Brian L and Lewis, Frank L2003 -Aircraft control and simulation. John Wiley & Sons
Dydek, Zachary Thompson, 2010-Adaptive control of unmanned aerial systems. PhD thesis, Massachusetts Institute of Technology,129p
rate research
Read More
This research tackles autolanding a power-off fixed-wing Unmanned Aerial Vehicle (UAV) on a
level or uphill landing strip with limited dimensions. New approaches to path planning, guidance,
and control are proposed for the final approach and landin
g stages. These approaches address
mid-sized UAVs assuming that the aircraft has only standard control surfaces, i.e. the elevator,
the rudder, and the ailerons. This problem has not been covered by the existing flight control
literature.
An ANFIS controller also designed and a comparison
between proposed controller, ANFIS controller and open loop model
had made with different types of disturbance.
The purpose of this article is to shed light on the mechanism
and the procedures of a neuro-fuzzy controller that classifies an
input face into any of the four facial expressions, which are
Happiness, Sadness, Anger and Fear. This program works
a
ccording to the facial characteristic points-FCP which is taken
from one side of the face, and depends, in contrast with some
traditional studies which rely on the whole face, on three
components: Eyebrows, Eyes and Mouth.
In this research a proportional integral differential classic (PID
controller) and state feedback controller was designed to control the in
the inverted pendulum and a comparison between all the cases and
choose the most suitable controller using MATLAB / SIMULINK
program
In our research,
we propose technique to become LQR controller able to drive
(Micro Aerial Vehicle by Change Center of Gravity(MAV COG))
robot on a specific trajectory. We add a matrix to adjust the
trajectory that we want to trace it. We use Mat
lab program to
execute our controller.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
