Multivariable state feedback control of a 500 000 rpm self-bearing motor

Baumgärtner, Thomas; Kolar, Johann W.

doi:10.1109/iemdc.2013.6556274

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…The focus of this paper is the modeling of radial rotor dynamics, the design of the radial rotor position controller, and the closedloop system control performance achieved by the implemented prototype in operation. The material in this paper was partially presented in [34] at the IEEE International Electric Machines & Drives Conference, Chicago, IL, USA, May 2013. The design of the implemented test bench and the power electronic actuators is presented in [7].…”

Section: A Contributions and Outline Of The Papermentioning

confidence: 99%

Multivariable State Feedback Control of a 500 000-r/min Self-Bearing Permanent-Magnet Motor

Baumgärtner

Kolar

2015

IEEE/ASME Trans. Mechatron.

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The use of magnetic bearings in electrical drive systems enables very long lifetimes at highest speeds and the operation in high-purity or vacuum environments. The machine prototype presented in this paper overcomes several limitations of previously presented high-speed magnetically levitated electrical drive systems. The design features linear bearing characteristics, which enables applying linear state feedback control without linearization of bearing actuators. A multivariable rotor position control scheme is proposed and implemented on a signal processor. The implemented Kalman filter and the linear state feedback controller proved to perform well in practice, stabilizing the system over the design speed range of the machine with a single set of controller parameters. Closed-loop system transfer function measurements verify the presented system modeling and controller performance. Measurements of the machine spinning at 500 000 r/min verify the functionality of the overall system. To the authors' knowledge, this is the highest speed achieved by magnetically levitated electrical drive systems so far. Index Terms-Active magnetic bearing (AMB), high-speed magnetic bearing, Kalman filter, linear quadratic Gaussian (LQG), linear quadratic regulator (LQR), state feedback control, vacuum.1 The alternative term bearingless can be found in the literature. However, even though self-bearing/bearingless machines use a common magnetic circuit for bearing force and drive torque generation, some designs feature dedicated bearing windings. Therefore, the term bearingless might be misleading. Thus, the term self-bearing is used throughout this paper. 1083-4435

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Section: A Contributions and Outline Of The Papermentioning

confidence: 99%

Multivariable State Feedback Control of a 500 000-r/min Self-Bearing Permanent-Magnet Motor

Baumgärtner

Kolar

2015

IEEE/ASME Trans. Mechatron.

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“…Active magnetic bearings (AMBs) have the advantages of no contact, no wear, low power consumption, and controllable support stiffness and damping. They are widely used in automobiles, artificial heart pumps, aero-engines, naval ship propulsion shafts, and other fields (Baumgartner and Kolar, 2013; Morosi and Santos, 2011; Okamoto et al, 2015; Peng et al, 2017). With the development of high-speed and high-precision characteristics of the rotating machinery, the high-performance requirements of rotor operation are gradually increasing, especially under the base motion.…”

Section: Introductionmentioning

confidence: 99%

Dynamic analysis and vibration control of a rotor-Active magnetic bearings system with base motion

Zhang

Zhou

et al. 2023

Journal of Vibration and Control

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High-speed and high-precision rotating machinery is widely applied in industry, which promotes the rapid development of non-contact bearings represented by active magnetic bearings (AMBs). The rotor-AMBs system is usually installed on the base. Due to the base motion, it affects the dynamic characteristics of the rotor-AMBs system. In this paper, the dynamic analysis of the rotor-AMBs system with base motion is carried out. The dynamic model of the system with base motion is first derived, and the control model is then established. The influence of the inherent property of the base, the excitation mode of the base motion, and the control method for the rotor-AMBs system are analyzed with numerical simulation. In addition, the combination of feedforward control and PID control is employed to eliminate the vibration disturbance caused by the base motion and improve the suspension accuracy of the rotor. The experimental results show that the proposed hybrid control can effectively reduce the vibration of the rotor-AMBs system with base motion.

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