Robust Nonlinear Controller Design
for a Complete UAV Mission
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This book presents a comprehensive treatment of the analysis and design of the robust nonlinear controller for Unmanned Aerial Vehicle (UAV). Robustness against disturbances and model uncertainty is at the heart of control practice. Unmanned Aerial Vehicle flight control systems must be capable of delivering the required performance while handling nonlinearities and uncertainties in the vehicle model, the atmosphere, and ambient wind. These factors necessitate the development of nonlinear flight control system design methods that can handle large nonlinearities and uncertainties. This book pre...
This book presents a comprehensive treatment of the
analysis and design of the robust nonlinear
controller for Unmanned Aerial Vehicle (UAV).
Robustness against disturbances and model
uncertainty is at the heart of control practice.
Unmanned Aerial Vehicle flight control systems must
be capable of delivering the required performance
while handling nonlinearities and uncertainties in
the vehicle model, the atmosphere, and ambient wind.
These factors necessitate the development of
nonlinear flight control system design methods that
can handle large nonlinearities and uncertainties.
This book presents the results of an exploratory
study to examine robust nonlinear controller design
methods for the UAV and compare this new approach
with existing PID, LQR, and linear H techniques.
The mission includes take-off, climb, cruise, a one
and a half circle accomplished in a level turn, and
a return back to its original airfield accomplished
by cruising back, descending, and completing an
approach and landing. Since the method must then be
verified, its flight simulation will be done using
MATLAB/SIMULINK.
analysis and design of the robust nonlinear
controller for Unmanned Aerial Vehicle (UAV).
Robustness against disturbances and model
uncertainty is at the heart of control practice.
Unmanned Aerial Vehicle flight control systems must
be capable of delivering the required performance
while handling nonlinearities and uncertainties in
the vehicle model, the atmosphere, and ambient wind.
These factors necessitate the development of
nonlinear flight control system design methods that
can handle large nonlinearities and uncertainties.
This book presents the results of an exploratory
study to examine robust nonlinear controller design
methods for the UAV and compare this new approach
with existing PID, LQR, and linear H techniques.
The mission includes take-off, climb, cruise, a one
and a half circle accomplished in a level turn, and
a return back to its original airfield accomplished
by cruising back, descending, and completing an
approach and landing. Since the method must then be
verified, its flight simulation will be done using
MATLAB/SIMULINK.
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