Fuzzy Control of Rotor System Using an Electromagnetic Actuator

Abstract

In recent years, a number of new methods dedicated to acoustic and vibration attenuation have been developed and proposed aiming at handling several types of engineering problems related to the dynamic behavior of the system. This is mainly due to the demand for better performance and safer operation of mechanical systems. There are various types of actuators available. The present contribution is dedicated to the electromagnetic actuator (EMA). EMA uses electromagnetic forces to support the rotor without mechanical contact. Due to the size of the system model, it was necessary to reduce the model of the rotating system. EMA is represented by a nonlinear model, which justifies the use of Fuzzy Logic Control. The results obtained with nonlinear model are compared with the linear model of the actuator. In the linear case, the controllers are designed for two situations, namely H∞ norm and LQR, solved by LMIs in both cases. These techniques are able to take into account uncertainties in the system. In the control, the nonlinear electrodynamics forces of the actuators are considered as containing uncertainties. Simulation results demonstrate the effectiveness of the methodology conveyed.