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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.


FIR filter frequency response and filtered data.
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pone.0153255.g007: FIR filter frequency response and filtered data.

Mentions: For this particular case, the filter was tested off line. Filter coefficients were calculated with b = fir1(n, Wn) MATLAB function, where n is the order of the filter and Wn = [w1 w2] is a two-element vector representing the cutoff frequency. The function returns the coefficients for a band-pass filter with the pass band w1 < w < w2. After the filter design process has generated the filter coefficient vector b, the result is tested for data response (Fig 7).


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

Roșca L, Duguleană M - PLoS ONE (2016)

FIR filter frequency response and filtered data.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0153255.g007: FIR filter frequency response and filtered data.
Mentions: For this particular case, the filter was tested off line. Filter coefficients were calculated with b = fir1(n, Wn) MATLAB function, where n is the order of the filter and Wn = [w1 w2] is a two-element vector representing the cutoff frequency. The function returns the coefficients for a band-pass filter with the pass band w1 < w < w2. After the filter design process has generated the filter coefficient vector b, the result is tested for data response (Fig 7).

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.