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Investigation of Applicable Control Methods on Quadrotor Model
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Unmanned Aerial Vehicles are subject to a range of disturbances during
flight, including sensor noise, strong winds and turbulence, nonlinear
pattern changes, and time delays. These effects can have a significant
impact on the flight quality and control of Unmanned Aerial Vehicles. As
a result, there has been a growing interest in researching Unmanned
Aerial Vehicle control methods. Among the various types of Unmanned
Aerial Vehicles, quadrotor Unmanned Aerial Vehicles have become an ideal
choice for the generation and development of control algorithms, due to
their nonlinearity and susceptibility to disturbances. In this study, a
quadrotor model was developed and compared with linear and nonlinear
control algorithms. Linear and nonlinear control designs were developed
using the obtained model, and orientation control of the quadrotor was
achieved. Among the linear control methods, Proportional Integral
Derivative and Linear Quadratic Regulator were preferred, while Sliding
Mode Control was preferred among the nonlinear control methods. The
performance and step responses of the designed controllers were then
observed.
Title: Investigation of Applicable Control Methods on Quadrotor Model
Description:
Unmanned Aerial Vehicles are subject to a range of disturbances during
flight, including sensor noise, strong winds and turbulence, nonlinear
pattern changes, and time delays.
These effects can have a significant
impact on the flight quality and control of Unmanned Aerial Vehicles.
As
a result, there has been a growing interest in researching Unmanned
Aerial Vehicle control methods.
Among the various types of Unmanned
Aerial Vehicles, quadrotor Unmanned Aerial Vehicles have become an ideal
choice for the generation and development of control algorithms, due to
their nonlinearity and susceptibility to disturbances.
In this study, a
quadrotor model was developed and compared with linear and nonlinear
control algorithms.
Linear and nonlinear control designs were developed
using the obtained model, and orientation control of the quadrotor was
achieved.
Among the linear control methods, Proportional Integral
Derivative and Linear Quadratic Regulator were preferred, while Sliding
Mode Control was preferred among the nonlinear control methods.
The
performance and step responses of the designed controllers were then
observed.
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