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An Online Observer for Minimization of Pulsating Torque in SMPM Motors.

Roșca L, Duguleană M - PLoS ONE (2016)

Bottom Line: Either the motor design or the motor control needs to be improved in order to minimize the periodic disturbances.The compensating signal is identified and added as feedback to the control signal of the servo motor.Compensation is evaluated for different values of the input signal, to show robustness of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Engineering, University "Lucian Blaga" of Sibiu, Sibiu, Romania.

ABSTRACT
A persistent problem of surface mounted permanent magnet (SMPM) motors is the non-uniformity of the developed torque. Either the motor design or the motor control needs to be improved in order to minimize the periodic disturbances. This paper proposes a new control technique for reducing periodic disturbances in permanent magnet (PM) electro-mechanical actuators, by advancing a new observer/estimator paradigm. A recursive estimation algorithm is implemented for online control. The compensating signal is identified and added as feedback to the control signal of the servo motor. Compensation is evaluated for different values of the input signal, to show robustness of the proposed method.

No MeSH data available.


Filter output for u = 4V, 4.5V and 5V.
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pone.0153255.g010: Filter output for u = 4V, 4.5V and 5V.

Mentions: In Fig 10 filter output is represented for different velocities. For each harmonic, filtering is done for 10 seconds. The only information about the filtered signal is the frequency f of the sinusoid. Filtering is not ideal, thus a small amount of white noise and oscillations are present into the filtered signal, resulting in a noisy sinusoid with a known frequency. To create the compensation signal, information about the amplitude and phase for each filtered harmonic is needed. The next section presents the proposed approach and implementation for on-line identification of these parameters.


An Online Observer for Minimization of Pulsating Torque in SMPM Motors.

Roșca L, Duguleană M - PLoS ONE (2016)

Filter output for u = 4V, 4.5V and 5V.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4835102&req=5

pone.0153255.g010: Filter output for u = 4V, 4.5V and 5V.
Mentions: In Fig 10 filter output is represented for different velocities. For each harmonic, filtering is done for 10 seconds. The only information about the filtered signal is the frequency f of the sinusoid. Filtering is not ideal, thus a small amount of white noise and oscillations are present into the filtered signal, resulting in a noisy sinusoid with a known frequency. To create the compensation signal, information about the amplitude and phase for each filtered harmonic is needed. The next section presents the proposed approach and implementation for on-line identification of these parameters.

Bottom Line: Either the motor design or the motor control needs to be improved in order to minimize the periodic disturbances.The compensating signal is identified and added as feedback to the control signal of the servo motor.Compensation is evaluated for different values of the input signal, to show robustness of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Engineering, University "Lucian Blaga" of Sibiu, Sibiu, Romania.

ABSTRACT
A persistent problem of surface mounted permanent magnet (SMPM) motors is the non-uniformity of the developed torque. Either the motor design or the motor control needs to be improved in order to minimize the periodic disturbances. This paper proposes a new control technique for reducing periodic disturbances in permanent magnet (PM) electro-mechanical actuators, by advancing a new observer/estimator paradigm. A recursive estimation algorithm is implemented for online control. The compensating signal is identified and added as feedback to the control signal of the servo motor. Compensation is evaluated for different values of the input signal, to show robustness of the proposed method.

No MeSH data available.