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Books > Professional & Technical > Transport technology > Aerospace & aviation technology
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State Estimation and Control for Low-cost Unmanned Aerial Vehicles (Hardcover, 2015 ed.)
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State Estimation and Control for Low-cost Unmanned Aerial Vehicles (Hardcover, 2015 ed.)
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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.
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