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Active Disturbance Rejection Decoupling Control for Three-Degree-of- Freedom Six-Pole Active Magnetic Bearing Based on BP Neural Network

Shaoshuai Wang, Huangqiu Zhu, Mengyao Wu, Weiyu Zhang

2020IEEE Transactions on Applied Superconductivity90 citationsDOI

Abstract

In order to decouple the three-degree-of-freedom six-pole active magnetic bearing (3-DOF 6-pole AMB) with strong couplings, nonlinear and unstable disturbance, an active disturbance rejection control strategy based on BP neural network (ADRC-BP) is put forward. Firstly, the configuration, magnetic circuit, working principle and mathematical model of 3-DOF 6-pole AMB are introduced and established. Then, taking the 3-DOF 6-pole AMB as the controlled object, an ADRC-BP system is designed and a method of parameter tuning is proposed. Finally, the effectiveness of the control strategy is verified by simulation and experiments. The results show that the ADRC-BP has strong robustness and adaptability to the uncertainty of magnetic bearing model and the variation of external disturbance. The decoupling control effect of ADRC-BP is better than that of conventional ADRC.

Topics & Concepts

Magnetic bearingControl theory (sociology)Decoupling (probability)Active disturbance rejection controlRobustness (evolution)Computer scienceNonlinear systemArtificial neural networkAdaptabilityControl systemDisturbance (geology)Control engineeringPhysicsArtificial intelligenceEngineeringControl (management)MagnetElectrical engineeringPaleontologyChemistryBiochemistryQuantum mechanicsGeneState observerEcologyBiologyMagnetic Bearings and Levitation DynamicsTribology and Lubrication EngineeringIterative Learning Control Systems
Active Disturbance Rejection Decoupling Control for Three-Degree-of- Freedom Six-Pole Active Magnetic Bearing Based on BP Neural Network | Litcius