Design of a Three Phase Permanent Magnet Biased Radial Active Magnetic Bearing Regarding a Position Sensorless Control

Hofer, Matthias; Schmidt, Erich; Schrödl, Manfred

doi:10.1109/apec.2009.4802901

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…Therefore, the control flux can be created with only one current controller for every degree of freedom. In [2,3,20], the bias flux is generated by permanent magnets. Such a magnetic bearing structure is called a permanent magnet biased active magnetic bearing (PMBAMB).…”

Section: Modeling Of a 5-dof Amb Systemmentioning

confidence: 99%

Control of Active Magnetic Bearings in Turbomolecular Pumps for Rotors with Low Resonance Frequencies of the Blade Wheel

Hutterer

Schrödl

2017

Lubricants

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Rotors with high gyroscopic effects and low resonance frequencies caused by the blade wheel (blade frequencies) can lead to stabilization problems in the application field of turbomolecular pumps. If such a rotor is stabilized by active magnetic bearings, the control structure could be destabilized by the splitting up of the rigid body eigen-frequencies caused by the gyroscopic effect. The control structure of the magnetic bearings can also destabilize the eigen-modes caused by the blade wheel, if the gain of the control structure is too high in the range of the eigen-frequencies of the blade wheel. To deal with the problem of the gyroscopic effect, a decoupling and compensation method was developed based on the inverse dynamics of the rigid body rotor. The gain of the control structure in the range of the blade frequencies is decreased using a Kalman filter. To increase the damping of the system, the predicted states of the linear magnetic bearing model using a Kalman filter are applied instead of the sampled values of the sensors directly. For the decoupled structure, PID controllers are used for stabilization. The functionality of the control structure is verified by a measurement of the current and position signal using the Kalman states and the sensor values. The robustness and performance in the frequency range are verified using the sensitivity and compliance function.

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Section: Modeling Of a 5-dof Amb Systemmentioning

confidence: 99%

Control of Active Magnetic Bearings in Turbomolecular Pumps for Rotors with Low Resonance Frequencies of the Blade Wheel

Hutterer

Schrödl

2017

Lubricants

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“…Because usually position sensors are used for the feedback path to stabilize the magnetic bearing system, the velocities are not measuring variables. In the last years also a few sensorless control strategies were developed, like the INFORM method which is described in [1] and [2]. To get the velocities the position signals can be differentiate.…”

Section: Reduction Of the Gyroscopic Effectmentioning

confidence: 99%

Selfsensing unbalance rejection and reduction of the gyroscopic effect for an active magnetic bearing system

Hutterer

Hofer

Schrödl

2015

2015 10th Asian Control Conference (ASCC)

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The unbalance of a magnetically levitated rotor causes synchronous oscillations in the current and position signals. This oscillations can lead to saturation of the magnetic actuator. To deal with that problem a selfsensing unbalance controller is developed to reduce the unbalance oscillations in the current signals. The selfsensing unbalance controller consists of two parts. The first part is the unbalance observer which has the task to detect the angular velocity and the angle of the synchronous unbalance information. The second part is the unbalance controller which uses the information of the unbalance observer to reject the unbalance oscillations in the current signal. For the unbalance controller a two modulation step Notch filter is used. The unbalance controller is not the only device which needs the angular velocity. With the angular velocity information also a parameter variant control path can be developed which has the task to reduce the gyroscopic effect. The last part of this paper deals with experimental results of the proposed control system which is implemented on an industrial magnetic bearing system.

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“…Displacement estimation methods currently used can mainly be divided into the following categories: the parameter estimation method, the state observation method, and the neural network method. The parameter estimation method is the method of indirectly estimating the rotor displacements by measuring inductance, mainly including inductance detection [12], PWM carrier analysis [13], high-frequency injection [14,15], and a saliency-tracking-based method [16]. This method requires additional circuitry to achieve special signal processing.…”

Section: Introductionmentioning

confidence: 99%

Displacement Estimation of Six-Pole Hybrid Magnetic Bearing Using Modified Particle Swarm Optimization Support Vector Machine

Liu

Zhu

2022

Energies

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In order to solve the problems of the large volume and high cost of a six-pole hybrid magnetic bearing (SHMB) with displacement sensors, a displacement estimation method using a modified particle swarm optimization (MPSO) least-squares support vector machine (LS-SVM) is proposed. Firstly, the inertial weight of the MPSO is changed to achieve faster iterations, and the prediction model of an LS-SVM-based MPSO is built. Secondly, the prediction model is simulated and verified according to the parameters optimized by the MPSO, and the predicted values of MPSO and PSO are compared. Finally, static and dynamic suspension experiments and a disturbance experiment are carried out, which verify the robustness and stability of the displacement estimation method.

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Design of a Three Phase Permanent Magnet Biased Radial Active Magnetic Bearing Regarding a Position Sensorless Control

Cited by 16 publications

References 6 publications

Control of Active Magnetic Bearings in Turbomolecular Pumps for Rotors with Low Resonance Frequencies of the Blade Wheel

Control of Active Magnetic Bearings in Turbomolecular Pumps for Rotors with Low Resonance Frequencies of the Blade Wheel

Selfsensing unbalance rejection and reduction of the gyroscopic effect for an active magnetic bearing system

Displacement Estimation of Six-Pole Hybrid Magnetic Bearing Using Modified Particle Swarm Optimization Support Vector Machine

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