Inverse System Analysis and Modeling of Bearingless Induction Motor and Its Combined Control Strategy

Bu, Wenshao; Zu, Conglin; Lu, Chunxiao

doi:10.1155/2014/698171

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…The inverse system method is a feedback linearization decoupling method applied to a complex nonlinear system . There has been some research progress on the inverse system decoupling of the BLIM system . But in these studies, in order to simplify the state equation, the current dynamics of the stator winding is ignored, and therefore the dynamic decoupling performance is limited to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, there exists an unpredictable load torque variable in the inverse system model; this limits the improvement of the dynamic decoupling performance of the BLIM system and increases the implementation difficulty of the inverse system. In , the inverse system modeling was carried out only for torque system, but the overall inverse system decoupling method of the BLIM system was not presented. There have been some promising studies on the least squares vector machine (LS‐SVM) inverse system decoupling method and the neural network inverse system decoupling control method, but the nonlinear fitting of the BLIM inverse system was carried out based on the rotor flux orientation of the torque system, but still not considering the stator current dynamics.…”

Section: Introductionmentioning

confidence: 99%

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Stator flux orientation inverse system decoupling control strategy of bearingless induction motor considering stator current dynamics

Chen

2018

IEEJ Transactions Elec Engng

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The bearingless induction motor (BLIM), is a multi-variable, nonlinear, and strongly coupled system. In order to improve its dynamic control performance, considering the stator current dynamics, a stator flux orientation (SFO) inverse system decoupling control strategy is proposed in this paper. Taking the dynamic characteristics of the torque winding current into account, the state equation of the BLIM system based on SFO is established. Then, on the basis of invertibility analysis, the inverse system dynamic mathematical model of the BLIM system is derived, the inverse system dynamic decoupling control strategy is presented, and the comprehensive design of the closed loop for each decoupled linear subsystem is carried out. Simulation experimental results show that the BLIM control system has excellent dynamic and static decoupling control performance, the influence of rotor parameters can be effectively overcome, and the ability to resist the load torque disturbance can be obviously improved.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stator flux orientation inverse system decoupling control strategy of bearingless induction motor considering stator current dynamics

Chen

2018

IEEJ Transactions Elec Engng

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“…Figure 1 shows the schematic diagram of the generation principle of the controllable magnetic suspension force [6]. The bearingless motor has a series of advantages, such as no friction, no mechanical noise, and higher critical speed; then it is more suitable for high-speed operation, and it has become a research hotspot [5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Decoupling Control Strategy of BLIM considering Rotor Mass Eccentricity

2018

Journal of Control Science and Engineering

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A BLIM, i.e., bearingless induction motor, is a multivariable, nonlinear, and strong coupling object; to achieve its high performance magnetic suspension operation control and overcome the influence of the rotor mass eccentricity, a decoupling control strategy considering the rotor mass eccentricity is proposed. Firstly, the mathematical model of the torque system based on the rotor flux orientation and the mathematical model of the magnetic suspension system based on the air gap flux orientation are presented; on this basis, the inverse system decoupling control method of the BLIM is researched. Then, according to the frequency characteristics of the unbalanced displacement, an unbalance vibration compensator is designed, which can generate a compensation force to suppress or eliminate the unbalanced displacement. Simulation experimental results have shown that the decoupling control among the rotor flux-linkage, motor speed, and two radial displacement components can be achieved; in the steady state, the unbalanced displacement can be basically eliminated, while, during the mutation process of motor speed, the unbalanced displacement can be suppressed effectively.

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“…In addition, the ratio of mutual inductance to radial displacement is a key parameter in the controllable magnetic suspension force model. For different types of bearingless motor, there have been many studies on the controllable magnetic suspension force model and the decoupling control method (Bu, Zu and Lu, 2014, 2015; Hiromi et al, 2007; Jia et al, 2014; Wang et al, 2015). However, until now, there has been little research on the inductance model of a bearingless motor.…”

Section: Introductionmentioning

confidence: 99%

Equivalent two-phase mutual inductance model and measurement algorithm of three-phase bearingless motor

Zhang

Qiao

et al. 2016

Transactions of the Institute of Measurement and Control

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For a bearingless motor that has two sets of stator windings, i.e. torque windings and suspension windings, the mutual inductance between the two sets of stator windings is a critical parameter; it is the basis of displacement sensorless control technology. Aiming at a three-phase bearingless motor, the equivalent two-phase mutual inductance model between two sets of stator windings is deduced. Then, based on the mutual inductance measurement method of a simple two-phase bearingless motor, a novel measurement algorithm of the equivalent two-phase mutual inductance is proposed, and the proposed measurement algorithm is applicable for a three-phase bearingless motor. Finally, based on a three-phase bearingless induction prototype motor, the experimental measurement of the equivalent two-phase mutual inductance is carried out. From the experimental results, it is clear that within the limited radial eccentricity of the rotor, the measured value of the equivalent two-phase mutual inductance is approximately proportional to the radial displacement of the rotor, and the correction coefficient kc of the equivalent two-phase mutual inductance model is derived; the consistency between measured and calculated values has verified the validities of the equivalent two-phase mutual inductance model and the proposed measurement algorithm from one instance. Thus, the theory foundation has been laid for research on the displacement sensorless vector control technology of a three-phase bearingless motor.

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Inverse System Analysis and Modeling of Bearingless Induction Motor and Its Combined Control Strategy

Cited by 5 publications

References 24 publications

Stator flux orientation inverse system decoupling control strategy of bearingless induction motor considering stator current dynamics

Stator flux orientation inverse system decoupling control strategy of bearingless induction motor considering stator current dynamics

Decoupling Control Strategy of BLIM considering Rotor Mass Eccentricity

Equivalent two-phase mutual inductance model and measurement algorithm of three-phase bearingless motor

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