New results for self-sensing active magnetic bearings using modulation approach

Schammass, A.; Herzog, R.; Bühler, Ph.; Bleuler, Hannes

doi:10.1109/tcst.2004.843142

Cited by 60 publications

(33 citation statements)

References 4 publications

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“…7 shows the frequency response of the estimator showing bandwidth of about 50Hz. A. Schammass [9,10] suggested that the compensation of magnetic permeability effect should be considered to improve the self-sensing performance.…”

Section: Resultsmentioning

confidence: 99%

“…However, since the current ripples corresponding to PWM carrier frequency may also be changed by duty ratio, it is necessary to take the duty ratio into the consideration for the controller design by measuring voltage ripples [4,5] or using a nonlinear observer [6,7,8]. For improved position accuracy, magnetic material permeability can be compensated by using an approximated static permeability curve [9,10].…”

Section: Introductionmentioning

confidence: 99%

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A self-sensing technology of active magnetic bearings using a phase modulation algorithm based on a high frequency voltage injection method

Park

Han

Park³

et al. 2008

J Mech Sci Technol

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Conventional AMB(active magnetic bearings) systems consist of electromagnetic coils, position sensors, power amplifiers and a feedback controller. This hardware configuration can lead to a structural complexity, problems of space limitations for the installation, and position control difficulties due to the non-collocation of actuators and sensors. In this paper, a self-sensing mechanism is proposed to resolve such limitations of the general AMB system. The proposed self-sensing scheme uses a phase difference of the injected current of two opposite electromagnetic actuators while an object is levitating between the actuators. The relationship between the phase difference of injected currents and the position of a levitated object was theoretically derived and linearized. In order to realize the proposed self-sensing scheme, a signal processing algorithm was developed. The frequency response of the estimator was measured to verify the performance of the proposed self-sensing scheme. In addition, a magnetic levitation and a disturbance rejection response were experimentally obtained to verify the feasibility of the proposed self-sensing mechanism. Experimental results showed that the developed self-sensing technique has similar performance as a practical gap sensor.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A self-sensing technology of active magnetic bearings using a phase modulation algorithm based on a high frequency voltage injection method

Park

Han

Park³

et al. 2008

J Mech Sci Technol

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show abstract

“…In practice, voltage and current are used to estimate the airgap. To do so, the two main approaches are: the state-space observer approach (Vischer & Bleuler, 1990), (Vischer & Bleuler, 1993) and the airgap estimation using the current ripple (Noh & Maslen, 1997), (Schammass et al, 2005). The former is based on the electromechanical model of the system.…”

Section: Transformer Dampers In Active Mode and Self-sensing Operationmentioning

confidence: 99%

Electromechanical Dampers for Vibration Control of Structures and Rotors

Tonoli¹,

Amati²,

Silvagni³

2010

Vibration Control

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“…Some approaches against magnetic saturation were proposed [15][16][17][18]. In the literature [15,16], nonlinear interference is compensated through polynomial approximation of control current.…”

Section: Introductionmentioning

confidence: 99%

Unscented Kalman Filtering for Self‐Sensing Magnetic Levitation against Magnetic Saturation

Matsuda

Sakamoto

2016

Electrical Engineering Japan

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SUMMARYThis paper investigates the magnetic saturation problem of self-sensing electromagnetic levitation system and presents a novel self-sensing scheme. The proposed approach employs a demodulation technique. By superimposing a high-frequency voltage, the resulting electromagnet coil currents have ripples that can be used for gap sensing. This paper shows that the gap length is not uniquely estimated when using only the relation between the ripple, the control currents, and the gap. The constraint conditions are to be determined to solve the problem. The proposed approach utilizes the dynamical motion model of the electromagnetic levitation system to uniquely identify the gap. Introducing the system behavior dynamics, the gap can be exactly estimated. To incorporate the system model with the gap sensing algorithm, a nonlinear filtering methodology is employed. The proposed estimator is demonstrated by the experiments. The results show that it is possible to address magnetic saturation with the proposed gap sensing scheme. The estimator has a good accuracy in a wider gap range compared to the conventional methods. C⃝ 2016 Wiley Periodicals, Inc. Electr Eng Jpn, 196(4): 60-68, 2016; Published online in Wiley Online Library (wileyonlinelibrary.com).

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New results for self-sensing active magnetic bearings using modulation approach

Cited by 60 publications

References 4 publications

A self-sensing technology of active magnetic bearings using a phase modulation algorithm based on a high frequency voltage injection method

A self-sensing technology of active magnetic bearings using a phase modulation algorithm based on a high frequency voltage injection method

Electromechanical Dampers for Vibration Control of Structures and Rotors

Unscented Kalman Filtering for Self‐Sensing Magnetic Levitation against Magnetic Saturation

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