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# Analysis of Control Method for Magnetic Bearing Systems

## Gang Huang^{*1}, Xiaolin Yang^{*2}, Jinhua She^{*3}, Weihua Cao^{*4}, and Changfan Zhang^{*1,†}

^{*1}College of Traffic Engineering, Hunan University of Technology

Zhuzhou 412007, China

^{*2}Beijing BeTech Co., Ltd.

Beijing 100089, China

^{*3}School of Computer Science, Tokyo University of Technology

Tokyo 192-0982, Japan

^{*4}School of Automation, China University of Geosciences

Wuhan 430074, China

^{†}Corresponding author

Magnetic bearing systems have attracted extensive attention in the fields of high speed, spotless area, vacuum space, etc. System performance depends largely on the control link, and it has become a research focus to improve controller performance to ensure high precision stable suspension and high anti-interference capability. This paper considers optimized, sliding mode, robust, fuzzy, and neural network control systems and assesses their research status and limitations for magnetic bearing systems. Algorithms for proposed vibration and high speed flexible rotor controls are illustrated. Finally, development trends for control technology of magnetic bearing systems are discussed.

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