Expression of Sensorless Speed Estimation in Direct Current Motor with Simplex Lap Winding

Bao-guo, Yuan; Hu, Zhihua; Zhou, Zhengxin

doi:10.1109/icma.2007.4303650

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…[b, a] = butter n, W n , f type (13) which returns the transfer function coefficients for the f type filter, for example, lowpass, highpass, bandpass, or bandstop. The resulting bandpass and bandstop designs are of order 2n with normalized cut-off frequency W n .…”

Section: Proposed Sensorless Methodsmentioning

confidence: 99%

“…To extract information about the rotor speed from the measured motor current (Figure 5), it is necessary to know the exact frequency of the current ripple. The frequency of the current ripple can be calculated by the following equation from [13]: As we can see from the picture, one mechanical rotation is given by eight ripples in the motor current. The distance between the first and the last ripple is about 0.02 s. Having this information, the rotational speed can be calculated by the following equation:…”

Section: Commutation Process Of Brushed DC Motormentioning

confidence: 99%

Section: Commutation Process Of Brushed DC Motormentioning

confidence: 99%

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Sensorless Speed Control of Brushed DC Motor Based at New Current Ripple Component Signal Processing

et al. 2021

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Signal processing of the brushed DC motor current was developed in this paper to obtain information about a rotor speed from a measured motor current. The brushed DC motor current contains a signal with a frequency proportional to the rotor speed. This signal is the outcome of a commutation process occurring in the brushed DC motor, and it is called a ripple component. Since the number of ripples in the measured motor current per one rotation is constant, the rotor speed can be estimated. A discrete bandpass filter with a floating bandwidth was developed as the main part of signal processing. This new interpretation of the bandpass filter was used to extract a frequency of the ripple component from the measured motor current. This frequency was used to acquire information about the estimated rotor speed. The estimated speed was set as a feedback value to a cascade control structure to provide sensorless speed control. The advantages and limitations of this approach are presented in this paper. Based on simulations and experimental results, it was confirmed that the proposed sensorless speed control is robust, accurate, and works precisely in a wide range of speeds.

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Section: Proposed Sensorless Methodsmentioning

confidence: 99%

Section: Commutation Process Of Brushed DC Motormentioning

confidence: 99%

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Sensorless Speed Control of Brushed DC Motor Based at New Current Ripple Component Signal Processing

et al. 2021

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“…A study conducted by Baoguo et al [21] relates the frequency of the ripple components, f r , to the number of field poles, 2p, the number of commutator segments, k, and the motor speed, n, as:…”

Section: Ripple Componentmentioning

confidence: 99%

“…Both effects produce undulations in the current. The number of undulations per second, or ripple frequency, is related to motor speed [21]. Many methods in the literature use the ripple component [2,18,[22][23][24][25].…”

mentioning

confidence: 99%

A Novel Method for Sensorless Speed Detection of Brushed DC Motors

2016

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Many motor applications require accurate speed measurement. For brushed dc motors, speed can be measured with conventional observers or sensorless observers. Sensorless observers have the advantage of not requiring any external devices to be attached to the motor. Instead, voltage and/or current are measured and used to estimate the speed. The sensorless observers are usually divided into two groups: those based on the dynamic model, and those based on the ripple component. This paper proposes a method that measures the current of brushed dc motors and analyses the position of its spectral components. From these spectral components, the method estimates the motor speed. Three tests, performed each with the speeds ranging from 2000 to 3000 rpm either at constant-speed, at slowly changing speeds, or at rapidly changing speeds, showed that the average error was below 1 rpm and that the deviation error was below 1.5 rpm. The proposed method: (i) is a novel method that is not based on either the dynamic model or on the ripple component; (ii) requires only the measurement of the current for the speed estimation; (iii) can be used for brushed dc (direct current) motors with a large number of coils; and (iv) achieves a low error in the speed estimation.

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Accuracy improvement evaluation in sensorless dc motor speed estimation by combining the dynamic motor model and the ripple component detection

Sánchez

Gil

Álvarez

2009

Technological Developments in Education and Automation

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Expression of Sensorless Speed Estimation in Direct Current Motor with Simplex Lap Winding

Cited by 9 publications

References 5 publications

Sensorless Speed Control of Brushed DC Motor Based at New Current Ripple Component Signal Processing

Sensorless Speed Control of Brushed DC Motor Based at New Current Ripple Component Signal Processing

A Novel Method for Sensorless Speed Detection of Brushed DC Motors

Accuracy improvement evaluation in sensorless dc motor speed estimation by combining the dynamic motor model and the ripple component detection

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