Adaptive output zero-bias tracking control of 1DOF AMB suspension system

Basovich, Sergei; Arogeti, Shai; Brand, Ziv

doi:10.1109/icarcv.2014.7064296

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…1 Zero-bias current/flux control for AMB system is then proposed to minimize the power consumption. [10][11][12][13][14][15][16][17] According to the relative position of rotor and stator, only one in a pair of coils has current flow at any given time while current of the other coil is zero. Differs from the linearized way, bias current/flux disappears by the zerobias controlled way, therefore, power consumption of the AMB system can be greatly reduced.…”

Section: Introductionmentioning

confidence: 99%

“…Jeffrey and Carl 31 present the application of feedback linearization method on AMB system. Previous works have been done on zero-bias or low-bias AMB system [10][11][12][13][14][15][16][17]32 ; however, researches about the control of a zero-bias current AMB system under unknown disturbance is rare in the literature. The contribution of this paper can be concluded as:…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear zero-bias current control for active magnetic bearing in power magnetically levitated spindle based on adaptive backstepping sliding mode approach

Rong

Zhou

2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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The zero-bias current controlled way is proposed to cut down the power consumption of the active magnetic bearing in a power magnetically levitated spindle system. The zero-bias current controlled way is easier to realize than the zero-bias flux controlled way, since current can be detected directly, while flux is hard to be measured in practice. Besides, the active magnetic bearing suffers from lumped uncertainty including parameter uncertainty and external load, and the displacement of rotor caused by lumped uncertainty is undesirable. In practice, the upper bound of the lumped uncertainty especially the external load is hard to obtain, making it hard to choose parameters for a traditional sliding mode control. The adaptive backstepping sliding mode control method combining both the advantages of sliding mode procedure and backstepping procedure is proposed to solve this problem. Furthermore, the upper bound of lumped uncertainty is estimated in real time by an adaptive law. In this paper, first a new zero-bias current active magnetic bearing system model with lumped uncertainty is built; then two controllers based on the sliding mode control and adaptive backstepping sliding mode control methods are designed, respectively, and the stability analyses are given for the two controllers via Lyapunov function; finally, the effectiveness of the proposed adaptive backstepping sliding mode control approach for a zero-bias current active magnetic bearing system is verified by the simulation and experiment results.

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