Modeling and High‐Performance Control of Electric Machines

Chiasson, John

doi:10.1002/0471722359

Cited by 342 publications

(273 citation statements)

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“…The fundamental for hybrid EM-structures synthesis is the all-system principle of crossing of genetically different parental electromagnetic chromosomes (Shinkarenko & Gaidaienko, 2010a;Chiasson, 2005) …”

Section: Principles Of Structurizationmentioning

confidence: 99%

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Decoding and Functional Analysis of Genetic Programs of Hybrid Electromechanical Structures

Shynkarenko¹,

Gaidaienko²,

Al-Husban³

2014

MAS

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The results of decoding and genetic programs of structuration analysis of hybrid electromechanical systems are generalized in this paper. Authors established the determined interrelations between genetic programs, structure of periods and groups in periodic generating system of electromagnetic field primary sources, genetic codes of hybrid chromosomes, the taxonomical and functional variety of developing electromechanical objects of hybrid type. The quantitative structure and properties of genetically admissible variety of hybrid Types of electromechanical objects are defined. The results of evolutionary experiments confirming reliability of predictive function of genetic programs are given in this article.

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Section: Principles Of Structurizationmentioning

confidence: 99%

“…(Shinkarenko, 2013;Chiasson, 2005); -Genetically admissible variety of functional classes of hybrid electromechanical structures (EM-structures) is predetermined by their genetic programs, which contain generating sets of electromagnetic chromosomes and have certain predictive function (Shinkarenko, 2013;…”

mentioning

confidence: 99%

Decoding and Functional Analysis of Genetic Programs of Hybrid Electromechanical Structures

Shynkarenko¹,

Gaidaienko²,

Al-Husban³

2014

MAS

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“…As background, field-oriented control provides a means to obtain high-performance control of an induction machine for use in applications such as traction drives. This field-oriented control methodology requires knowledge of the rotor flux linkages, which are not usually measured [12] [13]. To get around this problem, the rotor flux linkages are usually estimated using a state observer, and this observer requires the value of the rotor time constant   .…”

Section: Mathematical Model Of An Induction Machinementioning

confidence: 99%

“…In field oriented control the motor torque is given by  =     ( =    ) which at constant speed reduces to  =      . For a given torque, the current magnitude  2  +  2  is minimized if   =   [13]. Thus it is important to estimate the rotor flux angle accurately to have accurate values of the  currents in order to achieve this minimization.…”

Section: Simulationsmentioning

confidence: 99%

Elimination Theory for Nonlinear Parameter Estimation

Chiasson

Oteafy

2010

Advances in the Theory of Control, Signals and Systems With Physical Modeling

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“…In the (α, β) frame (total power invariant transformation), the usual dynamic equations read (see, e.g., [2,4]):…”

Section: Hamiltonian Modelingmentioning

confidence: 99%

Using Hamiltonians to Model Saturation in Space Vector Representations of AC Electrical Machines

Basic

Jebai

Malrait

et al. 2010

Advances in the Theory of Control, Signals and Systems With Physical Modeling

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Abstract. An Hamiltonian formulation with complex fluxes and currents is proposed. This formulation is derived from a recent Lagrangian formulation with complex electrical quantities. The complexification process avoids the usual separation into real and imaginary parts and notably simplifies modeling issues. Simple modifications of the magnetic energy underlying standard (α, β) models yield new (α, β) models describing machines with magnetic saturation and saliency. We prove that the usual expression of the electro-mechanical torque (wedge product of fluxes and currents) is related to a rotational invariance characterizing sinusoidal machines.

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Modeling and High‐Performance Control of Electric Machines

Cited by 342 publications

References 0 publications

Decoding and Functional Analysis of Genetic Programs of Hybrid Electromechanical Structures

Decoding and Functional Analysis of Genetic Programs of Hybrid Electromechanical Structures

Elimination Theory for Nonlinear Parameter Estimation

Using Hamiltonians to Model Saturation in Space Vector Representations of AC Electrical Machines

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