Extraction of power electronics converters uncertainties with PLECS®

Asadi, Farzin; Eguchi, Koichi

doi:10.1016/b978-0-12-817364-0.00006-0

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…(1) ) is the sum of two sinusoidal waveforms which are orthogonal functions since f 2 /f 1 = 3. Therefore, the total root mean square voltage is a root of the sum of all squares of the RMS components [47]

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Section: Resultsmentioning

confidence: 99%

Nanogenerator for determination of acoustic power in ultrasonic reactors

Mistewicz

Jesionek

Kim

et al. 2021

Ultrasonics Sonochemistry

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…”

Section: Resultsmentioning

confidence: 99%

Nanogenerator for determination of acoustic power in ultrasonic reactors

Mistewicz

Jesionek

Kim

et al. 2021

Ultrasonics Sonochemistry

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“…As mentioned previously, the most popular simulation packages that enable simulation of power electronics systems also in electro-energy applications include Matlab (Simulink), PSIM, Simplorer, Pspice (OrCAD), Multisim, PLECS or PSCAD [2][3][4][5].…”

Section: General Characteristics Of Selected Programs For Simulating Power Electronics Systemsmentioning

confidence: 99%

“…The most popular simulation packages include Matlab (Simulink), PSIM, Simplorer, Pspice (OrCAD), Multisim, PLECS, PSCAD, etc. For more information on Matlab (Simulink) and Pspice, the reader can refer to [2][3][4], and more details about PLCES can be found in reference [5].…”

Section: Introductionmentioning

confidence: 99%

Overview of Control Algorithm Verification Methods in Power Electronics Systems

et al. 2021

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The paper presents the existing verification methods for control algorithms in power electronics systems, including the application of model checking techniques. In the industry, the most frequently used verification methods are simulations and experiments; however, they have to be performed manually and do not give a 100% confidence that the system will operate correctly in all situations. Here we show the recent advancements in verification and performance assessment of power electronics systems with the usage of formal methods. Symbolic model checking can be used to achieve a guarantee that the system satisfies user-defined requirements, while statistical model checking combines simulation and statistical methods to gain statistically valid results that predict the behavior with high confidence. Both methods can be applied automatically before physical realization of the power electronics systems, so that any errors, incorrect assumptions or unforeseen situations are detected as early as possible. An additional functionality of verification with the use of formal methods is to check the converter operation in terms of reliability in various system operating conditions. It is possible to verify the distribution and uniformity of occurrence in time of the number of transistor switching, transistor conduction times for various current levels, etc. The information obtained in this way can be used to optimize control algorithms in terms of reliability in power electronics. The article provides an overview of various verification methods with an emphasis on statistical model checking. The basic functionalities of the methods, their construction, and their properties are indicated.

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“…In addition, in terms of activating the learning processes, such methods as classes conducted in a playful way, for example, a quiz lesson, an assessment review of knowledge lesson, a business meeting lesson, and so forth, show high efficiency. The practical application of such forms of training contributes to the development of professional competencies and improves the business skills necessary to ensure a high level of labor discipline and self-awareness of future specialists [4].…”

Section: Introductionmentioning

confidence: 99%