Graduate Research: Vibration control of rotors using active magnetic bearings. The aim was to model a four-degree-of-freedom rotor-bearing model and implement control algorithms to reduce vibrations. LQR method along with PD and Feedback linearization methods was used to reduce, if not totally eliminate, vibrations in a rotor suspended in magnetic bearings. Frequency responses using fast Fourier transform function of Matlab were generated to compare the linear and non-linear models. Both dimensional and non-dimensional analyses were carried out. It was found that using the LQR control algorithm vibrations were reduced to a large extent in the system. The influence of unbalance, speed, gyroscopic effect and gravity on the model was studied.
Project Management Institute (PMI)
Solid Works 2013, Photopia, Striker System's CAD/CAM & Sheet Metal Nesting, AutoCAD, Pro-E, ALGOR 12, DADS 9.0 and Matlab.
Visual Basic 2008, C and C++.
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