2020
DOI: 10.3390/electronics9050729
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Design of a Low-Order FIR Filter for a High-Frequency Square-Wave Voltage Injection Method of the PMLSM Used in Maglev Train

Abstract: In position sensorless control based on a high-frequency pulsating voltage injection method, filters are used to complete the extraction of high-frequency response signals for position observation. A finite impulse response (FIR) filter has the advantages of good stability and linear phase. However, the FIR filter designed by using traditional methods has a high order which will cause a large time delay. This paper proposes a low-order FIR filter design method for a high-frequency signal injection method in th… Show more

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Cited by 7 publications
(3 citation statements)
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“…The essence of the FIR filter is to weigh and sum the values of the past time. Compared to the IIR filter, there is no need to feedback on the output, so the structure is simple and easy to implement in programming [23].…”
Section: Harmonic Filtermentioning
confidence: 99%
“…The essence of the FIR filter is to weigh and sum the values of the past time. Compared to the IIR filter, there is no need to feedback on the output, so the structure is simple and easy to implement in programming [23].…”
Section: Harmonic Filtermentioning
confidence: 99%
“…The command filter(b,a,x) requires the numerator b and denominator a coefficients which represent a rational transfer function, whereas the data input is defined as x. Provided that a = 1 and b = 1/N, the result is a moving-average expression that filters the high frequency signals along the the number of elements N to be filtered (this is also known as the filter order) expressed in Equation ( 22) [45].…”
Section: Digital Filter Designmentioning
confidence: 99%
“…This includes a radial basis function neural network (RBFNN) for self-tuning of the proportional-integral-derivative (PID) controller. In [16], a low-order finite impulse response (FIR) filter, for a high-frequency signal injection method in the permanent magnet linear synchronous motor (PMLSM), was designed for position observation. The filter coefficients were obtained using constraint equations based on the amplitude-frequency characteristics of the FIR filter.…”
Section: The Special Issuementioning
confidence: 99%