Vibration control for a flexible rotor with a prediction control technique

This paper introduces the rotor dynamic characteristics of the multitask machine supported by magnetic bearings. This paper proposes a simulation method for vibration control of a rotor system using a finite element method and a dynamics program. This paper focuses on the applications of the prediction control technique (PCT) algorithm to vibration control of a rotor system. This thesis proposes a new simulation model method for magnetic bearing-rotor systems with a dynamic rotor system model using a multi-body dynamic analysis tool and with a PCT as a system control algorithm. The advantages of a dynamic model are the following. 1) It enables more accurate behavior observation than previous modeling methods. 2) The computing time of control simulation can be reduced. The PCT is a new control algorithm for a rotor system which can control the system using an adaptive proportional gain and an adaptive phase, which are obtained from periodical input signal. The simulation and experimental results show that the PCT is possible to control.