Supervisory Fuzzy LQR Control of an Active Magnetic Bearing System with Flexible Rotor

This paper presents the supervisory fuzzy control of active magnetic bearing (AMB) systems with a flexible rotor. The main goal is to implement the fuzzy learning control technique to reduce vibration of the rotor problem. A LQR controller design scheme is proposed, and fuzzy supervisor is developed in order to smooth the switching due to changing of weighted matrixes Q and R in LQR controller. The algorithm explores the cooperation between fuzzy controllers, knowledge and learns data to improve the outputs for LQR controller. Computer simulations demonstrate the effectiveness of this approach. The system exhibited periodic motion and has a high degree of accuracy and robustness when operating under this control scheme. The fuzzy controller yields robustness and had better performance compared to designing LQR control alone and slidingmode controllers

کلیدواژه ها:

Active Magnetic Bearing (AMB) ، flexible rotor ، fuzzy controller ، gyroscopic effect ، LQR