Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userAutolanding an Unmanned Aerial Vehicle Using Intelligent Guidance Techniques
الهبوط الآلي لطائرة مسيرة ثابتة الجناح باستخدام تقنيات التوجيه الذكي
1164
0 70
0
(
0
)
Publication date
2017
and research's language is
العربية
Created by
Shamra Editor
Ask ChatGPT about the research
نتناولُ في هذه الأطروحةِ مسألة اَلهبوطِ الاضطراريِّ لطائرةٍ غيرِ مأهولةٍ ثابتةِ الجناحِ فاقدةٍ للدفعِ على أرضٍمستو يةٍ أو متسلقةٍ محدودةِ الأبعاد. نركز فُي بحثنا على الطائراتِ متوسطةِ الحجمِ التي ٺتطلبُ القيامَ بهبوطٍ تقليديٍّ على عجلات، بينما تقتصر سُطوحُ التحكمِ المتوفرة فُيها على السطوحِ الرئيسيةِ فقط، أي دفةِ الارتفاعِ و دفةِ التوجيهِ و الجنيحات، دونَ أيِّ سطوحٍ مخصصةٍ للتحكمِ بالكبح.
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 landing 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.
References used
Douglas M Marshall, Richard K Barnhart, Eric Shappee, and Michael Thomas Most. Introduction to unmanned aircraft systems. Crc Press, 2015
Reg Austin. Unmanned aircraft systems: UAVs design, development and deployment, volume 54. John Wiley & Sons, 2011
Paul Fahlstrom and Thomas Gleason. Introduction to UAV systems. John Wiley & Sons, 2012
rate research
Read More
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
m
odel 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.
In this paper, it has
merged two techniques of the artificial intelligent, they are the
ants colony optimization algorithm and the genetic algorithm, to
The recurrent reinforcement learning trading system
optimization. The proposed trading system
is based on an ant
colony optimization algorithm and the genetic algorithm to
select an optimal group of technical indicators, and fundamental
indicators.
This paper presents a method for finding online adaptive optimal
controllers for continuous-time linear systems without knowing the
system dynamical matrices. The proposed method employs one of
Intelligent Operations Research Techniques, this tech
nique is the
adaptive dynamic programming, to iteratively solve the algebraic
Riccati equation using the online information of state and input,
without requiring the a priori knowledge of the system dynamics. In
addition, all iterations can be conducted by using repeatedly the
same state and input information on some fixed time intervals. A
practical online algorithm is developed in this paper, and is applied
to the controller design for a turbocharged diesel engine with
exhaust gas recirculation.
This Paper offers an effective method to measure the length of the
femur in Fetal Ultrasound Images, it applies a series of steps
starting with the reducing amount of noise in these images, and
then converted them to a binary form and uses morphol
ogical
operations to segment the femur and isolate it from the rest of the
image objects, then it applies an Edge Detector in order to find the
edges of the bone, then uses the Hough Transform to detect straight
lines in the image. we apply overlapping for resulted lines on the
original image, finally we choose the most significant and longest
straight line which is corresponding to the length of the femur. The
proposed method facilitates the measurement of the femur without
the help of a physician through a series of steps.
A major technological breakthrough in improving the
transmission reliability of wireless links was facilitated by the
employment of multiple antennas at the transmitter and receiver.
The concept of employing multiple antennas which demonstrated a
significant increase of the achievable capacity without requiring
any extra bandwidth or power. Compared to SISO systems ,MIMO
systems are capable of combating the deleterious effects of
multipath fading, which is one of the main challenges in the design
of wireless communication systems. MIMO systems may be
classified into different groups according to a range of different
criteria. we show the benefits of the MIMO systems, by classified
MIMO techniques into five categories according to their functions.
and also we are classified MIMO techniques into two categories
(open loop and closed loop) according to CSIT. Also we show the
trade-off between Spatial Diversity, Spatial Multiplexing, and
finally we study how we are employing multiple antennas in the
communication of Unmanned Aerial Vehicle (UAV) systems, so
we are studying the conditions of the ground station and the heights of the UAV, Moreover, the results from the simulation (matlab program ) points to trade-off between Spatial Diversity, Spatial Multiplexing, and conditions of the ground station and the heightsof the UAV.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
