2013•Unpublished venueRequires access

Comparison of suboptimal control methods in magnetic levitation system

Alexander Smirnov, Rafał P. Jastrzębski, Katja M. Hynynen, Olli Pyrhönen

Open publisher page 7 citations

Abstract

The use of active magnetic bearings (AMB) is increasing in high-speed applications, because their low friction operation allows higher rotational speeds than the traditional bearings. The inherent instability and complexity of the AMB rotor system with high nonlinearities pose challenges to the controller design. This leads to a problem of robust design. Robustness of LQG and loop-shaping H∞controllers is compared with the help of the evolutionary algorithm both theoretically and based on experimental measurements.

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What this paper is about

The use of active magnetic bearings (AMB) is increasing in high-speed applications, because their low friction operation allows higher rotational speeds than the traditional bearings. The inherent instability and complexity of the AMB rotor system with high nonlinearities pose challenges to the controller design. This leads to a problem of robust design. Robustness of LQG and loop-shaping H∞controllers is compared with the help of the evolutionary algorithm both theoretically and based on experimental measurements.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The use of active magnetic bearings (AMB) is increasing in high-speed applications, because their low friction operation allows higher rotational speeds than the traditional bearings. The inherent instability and complexity of the AMB rotor system with high nonlinearities pose challenges to the controller design. This leads to a problem of robust design. Robustness of LQG and loop-shaping H∞controllers is compared with the help of the evolutionary algorithm both theoretically and based on experimental measurements.

Key concepts: Magnetic bearing, Magnetic levitation, Control theory (sociology), Robustness (evolution), Linear-quadratic-Gaussian control, Control engineering, Rotor (electric), Attitude control

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