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This book discusses state estimation and control procedures for a
low-cost unmanned aerial vehicle (UAV). The authors consider the
use of robust adaptive Kalman filter algorithms and demonstrate
their advantages over the optimal Kalman filter in the context of
the difficult and varied environments in which UAVs may be
employed. Fault detection and isolation (FDI) and data fusion for
UAV air-data systems are also investigated, and control algorithms,
including the classical, optimal, and fuzzy controllers, are given
for the UAV. The performance of different control methods is
investigated and the results compared. State Estimation and Control
of Low-Cost Unmanned Aerial Vehicles covers all the important
issues for designing a guidance, navigation and control (GNC)
system of a low-cost UAV. It proposes significant new approaches
that can be exploited by GNC system designers in the future and
also reviews the current literature. The state estimation, control
and FDI methods are illustrated by examples and MATLAB (R)
simulations. State Estimation and Control of Low-Cost Unmanned
Aerial Vehicles will be of interest to both researchers in academia
and professional engineers in the aerospace industry. Graduate
students may also find it useful, and some sections are suitable
for an undergraduate readership.
Small satellites use commercial off-the-shelf sensors and actuators
for attitude determination and control (ADC) to reduce the cost.
These sensors and actuators are usually not as robust as the
available, more expensive, space-proven equipment. As a result, the
ADC system of small satellites is more vulnerable to any fault
compared to a system for larger competitors. This book aims to
present useful solutions for fault tolerance in ADC systems of
small satellites. The contents of the book can be divided into two
categories: fault tolerant attitude filtering algorithms for small
satellites and sensor calibration methods to compensate the sensor
errors. MATLAB® will be used to demonstrate simulations. Presents
fault tolerant attitude estimation algorithms for small satellites
with an emphasis on algorithms’ practicability and applicability
Incorporates fundamental knowledge about the attitude determination
methods at large Discusses comprehensive information about attitude
sensors for small satellites Reviews calibration algorithms for
small satellite magnetometers with simulated examples Supports
theory with MATLAB simulation results which can be easily
understood by individuals without a comprehensive background in
this field Covers up-to-date discussions for small satellite
attitude systems design Dr. Chingiz Hajiyev is a professor at the
Faculty of Aeronautics and Astronautics, Istanbul Technical
University (Istanbul, Turkey). Dr. Halil Ersin Soken is an
assistant professor at the Aerospace Engineering Department, Middle
East Technical University (Ankara, Turkey).
Small satellites use commercial off-the-shelf sensors and actuators
for attitude determination and control (ADC) to reduce the cost.
These sensors and actuators are usually not as robust as the
available, more expensive, space-proven equipment. As a result, the
ADC system of small satellites is more vulnerable to any fault
compared to a system for larger competitors. This book aims to
present useful solutions for fault tolerance in ADC systems of
small satellites. The contents of the book can be divided into two
categories: fault tolerant attitude filtering algorithms for small
satellites and sensor calibration methods to compensate the sensor
errors. MATLAB (R) will be used to demonstrate simulations.
Presents fault tolerant attitude estimation algorithms for small
satellites with an emphasis on algorithms' practicability and
applicability Incorporates fundamental knowledge about the attitude
determination methods at large Discusses comprehensive information
about attitude sensors for small satellites Reviews calibration
algorithms for small satellite magnetometers with simulated
examples Supports theory with MATLAB simulation results which can
be easily understood by individuals without a comprehensive
background in this field Covers up-to-date discussions for small
satellite attitude systems design Dr. Chingiz Hajiyev is a
professor at the Faculty of Aeronautics and Astronautics, Istanbul
Technical University (Istanbul, Turkey). Dr. Halil Ersin Soken is
an assistant professor at the Aerospace Engineering Department,
Middle East Technical University (Ankara, Turkey).
This book aims at the detection and identification of airframe
icing based on statistical properties of aircraft dynamics and
reconfigurable control protecting aircraft from hazardous icing
conditions. Icing model of aircraft is represented by five
parameters for iced wing airfoils. Icing is detected by a Kalman
filtering innovation approach. A neural network structure is
embodied such that its inputs are the aircraft estimated
measurements, and its outputs are the icing parameters. The
necessary training and validation set for the neural network model
of the iced aircraft are obtained from the simulations, which are
performed for various icing conditions. In order to decrease noise
effects on the states and to increase training performance of the
neural network, the estimated states by the Kalman filter are used.
A suitable neural network model of the iced aircraft is obtained by
using system identification methods and learning algorithms. This
trained network model is used as an application for the control of
the aircraft that has lost its controllability due to icing. The
method is applied to F16 military and A340 commercial aircraft
models.
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