dc.description.abstract |
An object is suspended by a magnetic field during the process of magnetic levitation. Magnetic
Levitation Systems (Maglev) have considerable applications in numerous technical areas despite
being unstable system. The sensitive, unreliable, and nonlinear nature of maglev systems makes it
difficult to design reliable controllers. Adaptive controller with adaptation mechanism is developed
as a solution to address the system uncertainties. In this thesis, First, the suspension control system
model of the maglev train is built up, and the stability of the closed-loop system is analyzed. After
that, A magnetic levitation system that is unstable is designed to be using Model Reference
Adaptive control to track and control the train position. The performance of the controller is
compared with PID and LQR. The simulation is done in Matlab2018a. The PID controller resulted
performance characteristics overshoot (41%), settling time(24.87second), and rise time
(1.04seconds) and the linear quadratic regulator controller having overshoot (19%), settling
time(15.167second), and rise time (0.128seconds). MRAC resulted overshoot (0.39%), settling
time(10.47second) and rise time (5.87second) It is generally good to compare this with the
acceptable performance in real application. The performance is also mostly related to cost we incur
to improve the performance.
Key words: magnetic levitation, model reference adaptive control, PID, LQR |
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