Model validation and controller design for vibration suppression of flexible rotor using AMB

This paper discusses the model validation and vibration suppression of an AMB flexible rotor via additional LQG controller. The main difficulty in the vibration suppression of the flexible rotor using AMB is to realize a controller that can minimize resonance without injuring the stabilized rigid modes. In order to solve this problem, simple scheme for system modeling and controller design are developed. Firstly, the AMB flexible rotor is stabilized with a PID controller, which leads to a new stable rotor-bearing system. Then, authors propose the model validation procedure using measured open-loop frequency responses to obtain an accurate model of the AMB flexible rotor system. After that, LQG controller with modal weighting is designed to suppress resonances of the stable rotor-bearing system. Due to the poor controllability and observability of flexible modes compared to rigid ones, balancing of two Gramians is prerequisite for the fair LQG controller design. Simulation with step disturbance and experimental results of unbalance response up to 10,000 rpm verified the effectiveness of the proposed scheme.

[1]  Yves Rolain,et al.  Analyses, development and applications of TLS algorithms in frequency domain system identification , 1997 .

[2]  Raoul Herzog,et al.  Multivariable Identification of Active Magnetic Bearing Systems , 1997 .

[3]  Sang-Moon Hwang,et al.  Effects of rotor misalignment in airgap on dynamic response of , 2002 .

[4]  Yohji Okada,et al.  Vibration Control of Flexible Rotor Supported by Magnetic Bearings , 1997 .

[5]  이종원,et al.  LMS 알고리듬을 이용한 하중계 내장형 능동 자기베어링 시스템의 운전중 위치 및 전류 강성계수 규명 ( On-line Indentification of Position and Current Stiffnesses in Active Magnetic Bearing System Equipped with Built-in Force Transducers by LMS Algorithm ) , 1998 .

[6]  Rainer Nordmann,et al.  Implementation results of µ-synthesis control for an energy storage flywheel test rig , 2000 .

[7]  안형준 A Study on system identification and vibration control of the AMB spindle for high speed precision machining using cylindrical capacitive sensors , 2001 .

[8]  Keun Hyoung Lee Control of boundary layer flow transition via distributed , 2002 .

[9]  Chong Won Lee,et al.  SUBOPTIMAL VIBRATION CONTROL OF FLEXIBLE ROTOR BEARING SYSTEM BY USING A MAGNETIC BEARING , 1989 .

[10]  Chong-Won Lee,et al.  In-situ modal testing and parameter identification of active magnetic bearing system by magnetic force measurement and the use of directional frequency response functions , 1997 .

[11]  Takayuki Ito,et al.  Μ Synthesis of Flexible Rotor-magnetic Bearing Systems , 1996, IEEE Trans. Control. Syst. Technol..

[12]  Soo Jeon,et al.  Error Analysis of the Cylindrical Capacitive Sensor for Active Magnetic Bearing Spindles , 2000 .

[13]  J. R. Salm Active Electromagnetic Suspension of an Elastic Rotor: Modelling, Control, and Experimental Results , 1988 .