2009 IEEE International Conference on Control and Automation 2009
DOI: 10.1109/icca.2009.5410191
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Modeling of transformer characteristics using fractional order transfer functions

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Cited by 6 publications
(4 citation statements)
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“…For this article, the original application coded in the Matlab ® environment was utilized to compute the non-integer order differential equation system. The non-integer order derivatives were evaluated numerically by discretization using the Grünwald-Letnikov definition (10), which describes the α-order derivative of a function x at a time t m = m•h.…”
Section: Simulation and Measurement Resultsmentioning
confidence: 99%
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“…For this article, the original application coded in the Matlab ® environment was utilized to compute the non-integer order differential equation system. The non-integer order derivatives were evaluated numerically by discretization using the Grünwald-Letnikov definition (10), which describes the α-order derivative of a function x at a time t m = m•h.…”
Section: Simulation and Measurement Resultsmentioning
confidence: 99%
“…Therefore, half-order modelling has been proposed to better describe the behaviour of electrical machines susceptible to the presence of induced currents in some of their conductive parts. Previous works have introduced such modelling in mechanical engineering for car suspension modelling [1], in electrochemical engineering for modelling of batteries [2], fuel cells [3], capacitors [4], supercapacitors [5] and ultracapacitors [6], as well as in electrical engineering for modelling of induction machines [7], synchronous machines [8,9] or transformers [10]. Classically, equivalent circuits of electrical device models are enhanced by adding ladder elements with constant parameters, usually R, L or C (resistance, inductance and capacitance, respectively) [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…It considers complex systems involving impedance modeling, quantum mechanics, and memristor systems as fractional-order system has an unlimited memory [8]. The fractional transfer function determined from the response of the system closely features the original response [9,10]. In fact, fractional calculus helps to improve accuracy in control engineering and better portrays dynamic behavior [11].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, fractional calculus has become more and more popular due to its unique advantages, including applications in filters, image processing, control systems, split-resistance components, super-capacitors and so on. In a certain range, the applicability and accuracy of the fractional-order model are greatly improved compared with the integerorder model, and there have been many research results in modeling of the winding equipment such as transformers and overhead lines (Liang et al, 2017;Liang and Gao, 2016;Kamath et al, 2009). There are many methods for solving fractional differential equations, including numerical methods and analytical methods.…”
Section: Introductionmentioning
confidence: 99%