Parameter identification of dc black‐box arc model using non‐linear least squares

Park, Kyu-Hoon; Lee, Ho-Yun; Asif, Mansoor; Lee, Bang-Wook

doi:10.1049/joe.2018.8369

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…The neural network was dependent on the gradient evidence which was related to the error function. It was observed that the BP neural network is not useful in the case of initial value was not considered appropriately [39]. Deep convolutional neural network is considered to be unusual kind of the neural network.…”

Section: Algorithmmentioning

confidence: 99%

6th International Online Conference on Electronics, Materials Engineering & Nano-Technology, IEMENTech 2022

Taki¹,

Chakrabarty²,

Sarkar³

et al. 2023

6th International Online Conference on Electronics, Materials Engineering &Amp; Nano-Technology, IEMENTech 2022

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Security is of paramount importance in homes, schools, offices and industries. Traditional mechanisms such as locks and keys, door chains etc. have all shown their limitations. These limitations include: the key can break in the lock; the lock can be defective; the key can be stolen or fraudulently duplicated resulting in unauthorized access to a building. This article describes the development of a system to secure access to a building. In this system, users who are authorized to access the building are identified by their radio frequency identification (RFID) card and authenticated by a password. This system provides an effective means of controlling the entry and exit of authorized persons, as well as preventing the entry of unauthorized users and reporting intrusion attempts. To set up this project, we need to acquire a radio frequency identification (RFID) reader, an RFID module, an LCD screen, an ESP8266 MCU node, a database manager and a website.

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Section: Algorithmmentioning

confidence: 99%

6th International Online Conference on Electronics, Materials Engineering & Nano-Technology, IEMENTech 2022

Taki¹,

Chakrabarty²,

Sarkar³

et al. 2023

6th International Online Conference on Electronics, Materials Engineering &Amp; Nano-Technology, IEMENTech 2022

View full text Add to dashboard Cite

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“…Parameter identification techniques have been applied in different applications, including motor drives [8], power converters [9], load control [10],arc modelling [11], battery and super capacitor systems [12] or transmission lines relaying [13], among others. Parameter identification involves a set of experimental methods focused on obtaining the dynamic behavior of a complex system by applying suitable algorithms.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Least Squares Optimization for Parametric Identification of DC–DC Converters

Rojas-Dueñas

Riba

Moreno-Eguilaz

2021

IEEE Trans. Power Electron.

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Switching mode power converters are being extensively applied in different power conversion systems. Parameter identification comprises a set of techniques focused on extracting the relevant parameters of the converters in order to generate accurate discrete simulation models or to design enhanced condition diagnosis schemes. This paper applies a noninvasive optimization approach based on the non-linear least squares algorithm to determine the model parameters of different commercially available DC-DC power converters (buck, boost and buck-boost) from experimental data, including the parameters related to passive, parasitic and control loop elements. The proposed approach is based on a non-invasive on-line acquisition of the input/output voltages and currents under both steady state and transient conditions. The proposed method can also be applied to many other applications requiring precise and efficient parameter identification, including rectifiers, filters, or power supplies among others.

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“…The Mayr's model alone instead can be improved, leading to the so called Schwarz model. A larger flexibility is achieved by combining three parameterised independent arc equations in the so called KEMA model, necessitating then a more complex tuning by fitting to experimental values by means of e.g., genetic algorithms [67], compared to more traditional non-linear least squares methods, such as Levenberg-Marquardt [72] or Powell's dog leg [73] for the solution of the simpler Schwarz model.…”

mentioning

confidence: 99%

“…It is observed that for applications where low current operation prevails, possibly with frequent arc ignition and extinction, also the Schwarz's model alone has been used [72,73].…”

mentioning

confidence: 99%

The Electrical Behaviour of Railway Pantograph Arcs

Mariscotti

2023

Energies

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Electric arcing is an unavoidable consequence of the current collection process by sliding contact in railways and metros, and in general in many electrified transportation systems (ETSs). The most relevant consequences in an electrical perspective are: the occurrence of transients triggering resonant behaviour and transient responses, reduction of the energy efficiency of the system, conducted and radiated disturbance, in particular for the new radio systems widely employed for signalling and communication. The involved parameters are many (type of materials, current intensity, DC and AC supply, relative speed, temperature), as well as the studied characteristics (arc instability and lifetime, dynamic behaviour, electrical system response, radiation efficiency and coupling to external radio systems). This work reports the state of the art in arc modelling, arcing experimental characterisation, interaction with the supply system, radiated emissions and disturbance to radio systems, providing a complete description of phenomena and of reference data, critically discussing similarity and differences between sources. Proposed arc models are many with different assumptions and simplifications for various applications, so that a critical review and discussion are a necessity, considering the many different approaches and not-so-obvious applicability. The comparison with experimental results highlights unavoidable discrepancies, also because of intrinsic arc variability and for the many involved parameters and operating conditions. The impact of the arc as embedded in the railway system is then considered, speaking of conducted and radiated phenomena, including interference to radio communication systems and arc detection. The most prominent effect for conducted emissions is the excitation of system resonances, including the LC filters onboard rolling stock and substations in DC railways, with consequences for disturbance and energy efficiency, and this is discussed in detail. Conversely, for high frequency emissions, the attenuation along the line circuit is significant and the effective distance of propagation is limited; nevertheless radiated electromagnetic field emissions are a relevant source of disturbance for radio systems within the ETS premises and outside (e.g., at airports). The published approaches to quantify performance reduction are discussed with emphasis on experimental methods.

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Parameter identification of dc black‐box arc model using non‐linear least squares

Cited by 6 publications

References 8 publications

6th International Online Conference on Electronics, Materials Engineering & Nano-Technology, IEMENTech 2022

6th International Online Conference on Electronics, Materials Engineering & Nano-Technology, IEMENTech 2022

Nonlinear Least Squares Optimization for Parametric Identification of DC–DC Converters

The Electrical Behaviour of Railway Pantograph Arcs

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