Abstract:
Magnetic Levitation Systems are used to levitate a ferromagnetic object in
the air without any support. It has a wide area of applications because it
eradicates energy losses that occur due to friction of the surface. In this thesis, nonlinear controllers have been designed by using backstepping, integral
backstepping and synergetic control techniques that will help to obtain certain control objectives. Nonlinear controllers have been designed because of
nonlinear dynamics present in the system model. The control objectives are
used to generate a certain amount of magnetic flux by applying control input
to the system. The magnetic flux is then used to levitate the body in air
at a certain distance from the coil so that the movement of the body within
that magnetic flux is negligible. The magnetic force provides an acceleration
against the earth gravitational force to lift the body towards the coil. For
each nonlinear controller, Lyapnouv based theory has been used to check the
global asymptotic stability of the system. MATLAB/Simulink environment
is then used to analyze the system performance for the proposed controllers.
Moreover, a comparative analysis of proposed nonlinear controllers has been
given with PI controller to study which controller is more efficient.
