Compensated linear induction motor characteristics research by detailed magnetic equivalent circuit

Сарапулов, Ф. Н.; Sarapulov, Sergey; Smolyanov, Ivan

doi:10.1109/icieam.2017.8076314

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…A flat LIM with a short-circuited SE and a laminated magnetic circuit can also be characterized by the electromagnetic quality factor ε according to (9), if the equivalent thickness of the highly conductive screen is determined through the total cross section of the rods of the short-circuited cage, similarly to how it was done in [8,12], and the effect of the resistance of short-circuiting tires is taken into account coefficient kγ [13,14], substituting it into (9) instead of kq:…”

Section: Methods and Discussionmentioning

confidence: 99%

“…where х2 and r2 are the parameters of the short-circuited winding, determined by known methods [13][14][15][16][17][18].…”

Section: Methods and Discussionmentioning

confidence: 99%

“…In the first approximation, such an account can be made using the formulas obtained from a comparison of the vector diagrams in Figure 3: The index «o» marks the currents and electromagnetic quality factor of the massive steel SE, obtained in the absence of a highly conductive screen, but with the same load of the inductor as in the case of the combined SE (I1 = I1o). As calculations show, with subsequent refinement, the value of εс , calculated according to (21), changes by no more than 10% [10,[12][13][14][15][16][17][18]. Using ( 19) -( 22), one can estimate the mutual influence of a highly conductive screen and a steel mass, as well as determine the screen thickness and linear current load, at which the effect of one of the layers of the combined SE can be neglected.…”

Section: Methods and Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Electromagnetic quality of a linear asynchronous motor with different designs of the secondary element

Yunusov,

Imomnazarov,

Rajabov

et al. 2023

E3S Web Conf.

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Linear asynchronous electric motors drive the working bodies of the mechanisms directly and quite fully fulfill their drive characteristics, allow eliminating mechanical converters and increase performance. This solves the problem of maximum articulation, splicing of a source of mechanical energy - an electric motor and an executive technological mechanism. Linear electric motors with a massive ferromagnetic secondary are the most cost-effective, taking into account the operating modes - when operating in starting modes and on stop, therefore, in practice, it often becomes necessary to calculate them in a short circuit mode. With a simplified calculation, it is convenient to use correction factors for increasing magnetic fluxes in the yoke, secondary losses and efforts of linear induction motors compared to the same values in a circular analogue. The dependences of such coefficients on the quality factor, the number of pairs of poles and the relative magnetic resistance of shunting. In the general case, the comparison and selection of the design of a linear induction motor is carried out at the stage of preliminary design using the optimality criteria - the quality factor.

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Section: Methods and Discussionmentioning

confidence: 99%

“…where х2 and r2 are the parameters of the short-circuited winding, determined by known methods [13][14][15][16][17][18].…”

Section: Methods and Discussionmentioning

confidence: 99%

Section: Methods and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Electromagnetic quality of a linear asynchronous motor with different designs of the secondary element

Yunusov,

Imomnazarov,

Rajabov

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…Researchers has developed many ways to overcome the problems such as by using controller like adaptive which can make position more properly [3], another example is in using neural network controller for velocity controller [4] and by using Self-adjusting Fuzzy control system to decrease speed ripple [5]. Different way for reducing end effect is by balancing the effect with equivalent circuit [6], [7], [8], [9], [10], [11], [12]. and by adding auxiliary teeth [13], [14], [15], [16], [17], which still has drawback on trust force.…”

Section: Introductionmentioning

confidence: 99%

End Effect Reduction by Modification Design of End Teeth for Linear Induction Motor

Syafitri

2024

jes

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Using linear induction motors for magnetic trains has challenges in maintaining stability and safety, namely the emergence of holding forces. The force arises due to the magnetic flux interaction between the permanent magnet and the iron core. One source of resisting force is due to the dotted lines, which creates a finishing effect and generates vibration and noise from the system. Previous research has carried out several works, one of which is designing the shape of a gear at the end of a tooth with a convex curved shape in a linear synchronous motor which has succeeded in reducing the effect of the tip of the tooth. This study aims to determine the results of the effectiveness of calculations using MATLAB, which can produce much less resistance. This research uses descriptive research with a qualitative approach. In this study the calculations to redesign the shape of the dental arch at the end of the track were carried out by making a model with a parabolic approach. Plane dimensions X, Y, Z 660mm x 360mmx 360 mm. Magnetic density data were collected using Ansys software and 10 mm meshing, while the magnitude of the resistive force based on mathematical equations was carried out using MATLAB software. Investigation of the effect of curvature for the final effect value has been carried out using 6 models with different arcs. From the simulation, it is concluded that the sharpener for bow curvature gives the smallest resistance force value. The smallest result from the calculation A=A_x+y^' A_y gives the smallest detention force value. The smallest computation of A=A_x+y^' A_y with the sharpest curvature is a challenge to build and use for real activities.

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“…In [3][4][5][6][7][8][9][10], this phenomenon is studied and parameters of the motor are obtained considering it. In [11], an equivalent circuit of π shape is presented and the parameters of the motor are calculated. In [12,13], the motor design and optimization are discussed with different optimization methods and considering different objective functions.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid Secondary (HLIM) Considering the End Effect

Mousaei¹,

Bahari²,

Mieho³

2021

AJECE

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Nowadays, linear electric motors are used in industries and applications that require linear motion. Different classifications for linear motors can be considered that one of them is based on their secondary. They have two secondary types: Flat (FLIM) and Ladder (LLIM) secondary. LLIMs have more thrust force than FLIMs, however due to their higher design cost, they are less popular. In this paper we proposed a linear induction motor with Hybrid (HLIM) secondary and its relationships with consideration of the end effect. Then, this motor optimally designed using the Particle Swarm Optimization (PSO) algorithm. Next its output speed is controlled by the Direct Thrust Force Control (DTFC) method. According to the results, speed of HLIM reaches the desired speed in less time than and also less ripple than LLIM and FLIM. Also HLIM has more power factor as well as more thrust force and more efficiency than LLIM and FLIM. Also HLIM has less design cost than the LLIM and FLIM.

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Compensated linear induction motor characteristics research by detailed magnetic equivalent circuit

Cited by 8 publications

References 2 publications

Electromagnetic quality of a linear asynchronous motor with different designs of the secondary element

Electromagnetic quality of a linear asynchronous motor with different designs of the secondary element

End Effect Reduction by Modification Design of End Teeth for Linear Induction Motor

Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid Secondary (HLIM) Considering the End Effect

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