Neural robust control of a high-speed flexible rotor supported on active magnetic bearings

Author(s):  
Heeju Choi ◽  
G. Buckner ◽  
N. Gibson
Author(s):  
Yuichi Nakajima ◽  
Takahito Sagane ◽  
Hiroshi Tajima ◽  
Toru Watanabe ◽  
Kazuto Seto

This paper proposes a new modeling technique and control system design for flexible rotors using active magnetic bearings (AMB) to pass through many critical speeds and fulfill high-speed rotation. To achieve this purpose, it is necessary to control not only motion but also many modes of bending vibration. For the purpose, an extended reduced order physical model that is able to express simultaneously the motion and bending vibration of the flexible rotor, is proposed. Furthermore, a new controller combined PID with LQ control is adapted to control the flexible rotor. Effectiveness of the proposed modeling and control approach for the flexible rotor is verified through simulations and experiments.


2015 ◽  
Vol 39 (4) ◽  
pp. 855-866 ◽  
Author(s):  
Sarvat M. Ahmad ◽  
Osman A. Ahmed ◽  
Zaharuddin Mohamed

Active Magnetic Bearings (AMBs) are increasingly used in various industries and a quick re-levitation of AMBs supported high speed flexible rotor is necessary in case of vibration induced failure. A robust fault diagnosis algorithm is presented to detect suspected saturation type of nonlinearity associated with a power amplifier. A five degree-of-freedom AMB system consisting of four opposing pair of radial magnets and a pair of axial magnets is considered. In this paper failure of an industrial grade AMB system is investigated using Sinusoidal Input Describing Function (SIDF) method. SIDF predicts the gain and frequency at which failure occurs. It is demonstrated that the predicted frequency is in agreement with the frequency at which failure occurs.


Author(s):  
Takuya Nomoto ◽  
Daisuke Hunakoshi ◽  
Toru Watanabe ◽  
Kazuto Seto

This paper presents a new modeling method and a control system design procedure for a flexible rotor with many elastic modes using active magnetic bearings. The purpose of our research is to let the rotor rotate passing over the 1st and the 2nd critical speeds caused by flexible modes. To achieve this, it is necessary to control motion and vibration of the flexible rotor simultaneously. The new modeling method named as Extended Reduced Order Physical Model is presented to express its motion and vibration uniformly. By using transfer function of flexible rotor-Active Magnetic Bearings system, we designed a Local Jerk Feedback Control system and conducted stability discrimination with root locus. In order to evaluate this modeling and control method, levitation experimentation is conducted.


2015 ◽  
Vol 2015.21 (0) ◽  
pp. _20420-1_-_20420-2_
Author(s):  
Hirokazu Tomono ◽  
Tasuku Kamekawa ◽  
Hiroyuki Fujisaki ◽  
Masamitsu Shiga ◽  
Toru Watanabe ◽  
...  

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