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Related Concept Videos

Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

251
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
251
Upsampling01:22

Upsampling

238
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
238
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

327
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
327
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

206
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
206
Downsampling01:20

Downsampling

158
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
158
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

272
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
272

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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Improved Feedback Quantizer with Discrete Space Vector.

Matías Veillon1, Eduardo Espinosa1,2, Pedro Melin3

  • 1Department of Electrical Engineering, Faculty of Engineering, Universidad Católica de la Santísima Concepción, Talca 3467769, Chile.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
Summary
This summary is machine-generated.

This study enhances the Feedback Quantizer modulation for power converters, reducing low-frequency harmonics and improving voltage tracking. The new method achieves a fixed switching frequency and less than 2% current distortion, even with longer sampling times.

Keywords:
Discrete Space Vector modulationFeedback Quantizermodulation schemetotal harmonic distortionvoltage source converterweighted total harmonic distortion

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Area of Science:

  • Electrical Engineering
  • Power Electronics
  • Control Systems

Background:

  • Advanced modulation and control schemes are crucial for power converters.
  • The Feedback Quantizer scheme mitigates low-frequency harmonics but suffers from variable switching frequency and requires small sampling times.
  • Harmonics can be detrimental to electrical equipment like transformers.

Purpose of the Study:

  • To improve the Feedback Quantizer closed-loop modulation scheme for three-phase voltage source inverters.
  • To address the limitations of variable switching frequency and the need for small sampling times in the conventional Feedback Quantizer.
  • To reduce harmonic distortion and noise while maintaining good voltage reference tracking.

Main Methods:

  • A novel modulation scheme based on Discrete Space Vector with virtual vectors was proposed.
  • The proposed scheme aims for better approximation of optimal vectors for the control algorithm.
  • The method was tested with a high sampling time of 200 μs.

Main Results:

  • The proposed scheme achieved a Total Harmonic Distortion (THD) of less than 2% in the load current.
  • It successfully decreased noise compared to the conventional scheme.
  • A fixed switching frequency was achieved, overcoming a key limitation of the original method.

Conclusions:

  • The enhanced Feedback Quantizer modulation scheme significantly improves performance.
  • The proposal offers a practical solution for power converter control with better harmonic mitigation and fixed switching frequency.
  • Experimental validation confirms the effectiveness of the new modulation strategy.