2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS) 2016
DOI: 10.1109/mwscas.2016.7870150
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Zynq-based SoC implementation of an induction machine control algorithm

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Cited by 4 publications
(4 citation statements)
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“…Conversely, we used multiplex testing methods to improve the quality of products. We all know that zero-defect high-quality products (Zero Defect Manufacturing, ZDM) [20,21] are the ultimate goal of all industries. The quality requirements in the biomedical or automotive electronics industries are stringent, with higher safety requirements.…”
Section: Introductionmentioning
confidence: 99%
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“…Conversely, we used multiplex testing methods to improve the quality of products. We all know that zero-defect high-quality products (Zero Defect Manufacturing, ZDM) [20,21] are the ultimate goal of all industries. The quality requirements in the biomedical or automotive electronics industries are stringent, with higher safety requirements.…”
Section: Introductionmentioning
confidence: 99%
“…Various work can be found in the literature taking advantage of both standalone FP-GAs [11][12][13][14][15] and Zynq SoCs [10,[16][17][18][19][20][21][22][23][24][25] to control power electronics devices. Most presented Zynq-based solutions use development boards for prototyping [10,17,[19][20][21][22]24,25], including the Zedboard used in this paper [10,[19][20][21]24]. A custom hardware platform is proposed in [17] specifically for power electronics control.…”
Section: Introductionmentioning
confidence: 99%
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“…The vast number of inputs-outputs (IOs) in the FPGA allows designers to generate several and various numbers of gating signals, since in microcontrollers the number of PWM signals and their timings are limited. In this work, the SoC platform for power electronic applications is introduced and published in [38] and also implemented for the verification of the detection algorithm introduced in Chapter 4. The methodology used in this novel solution is explained and experimental results are presented.…”
Section: Resultsmentioning
confidence: 99%