• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.37-39
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• 1989

In this paper, the governing equation of each analyzed region of Single-sided Linear Induction Motor was induced from Maxwell's electromagnetic equation. And the linear induction motor was analyzed by finite element method. for calculating inductance, energy perturbation method was applied.

• Proceedings of the KIEE Conference
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• 1989.11a
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• pp.15-19
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• 1989

In this paper, the thrust force characteristic of SLIM according to the variation of several parameters was calculated from the fundamental equation based on Maxwell' s electromagnetic equation to design the transportation system which is drived by short primary single sided linear induction motor. The transportation system of moving secondary was constructed by the design values calculated on the base of simulated data and this values were compared to experimental values, and also the control method of transportation system was proposed.

• Proceedings of the KIEE Conference
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• 1993.11a
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• pp.70-72
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• 1993

In this paper, we propose the One-Ampere Conductor Method which is able to calculate the flux distribution conventionally and easily, and the improved winding method which suppress space harmonics of magnetomotive force and enhance the utilization of primary iron core in tubular linear induction motor. We examine no-load test to verify propriety of proposed method and analyze characteristics by finite element method. As a result, performances are improved and propriety of primary iron core is enhanced comparing with conventional model.

• Proceedings of the KIEE Conference
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• 1998.07a
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• pp.158-160
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• 1998

This paper proposed the 2-D Finite Element analysis method taking into end-ring of squirrel cage induction motor. Secondary conductor resistance can be simply replaced new one considering end-ring resistance. In the case of 2-D FEM, the end-ring resistance is hard to condsider. And the results without considering end-ring resistance have an error. To verify the proposed method we compared the analysis results and test ones.

• Proceedings of the KIEE Conference
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• 1993.07b
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• pp.1060-1062
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• 1993

This paper presents the dynamic analysis method of a linear induction motor by finite element method. For simulation of dynamic performance, a step by step process with respect to time is used with external voltage source and motional equation. Movement is taken into account by a combination of mesh distortion and remeshing technique.

• Proceedings of the KIEE Conference
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• 1993.07b
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• pp.1004-1006
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• 1993

A new method for the optimal design of a single-sided linear induction motor(SLIM) is presented. The method utilizes the neural networks and finite element method for optimizing the design parameters of SLIM. The finite element analysis is used to produce a variety of neural networks training data and the neural networks is used for optimizing the design parameters by sequential unconstrained minimization technique(SUMT). As a result, it is known that the novel method is very efficient and accurate as an optimization technique.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1650-1651
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• 2007

This paper presents a novel nonlinear speed control strategy for induction motor utilizing exact feedback linearization with states feedback. The speed and flux control loops utilize nonlinear feedback which eliminates the need for tuning, while ordinary proportional-integral controllers are used to control the stator current of d-axis the speed. The control scheme is derived in rotor field coordinates and employs an appropriate estimator for estimation of the rotor flux angle, flux magnitude.

• Journal of Power Electronics
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• v.9 no.4
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• pp.654-666
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• 2009

Direct torque control (DTC) of induction machines (IM) is a well-known strategy of these drives control which has a fast dynamic and a good tracking response. In this paper a nonlinear DTC of speed sensorless IM drives is presented which is based on input-output feedback linearization control theory. The IM model includes iron losses using a speed dependent shunt resistance which is determined through some effective experiments. A stator flux vector is estimated through a simple integrator based on stator voltage equations in the stationary frame. A novel method is introduced for DC offset compensation which is a major problem of AC machines, especially at low speeds. Rotor speed is also determined using a rotor flux sliding-mode (SM) observer which is capable of rotor flux space vector and rotor speed simultaneous estimation. In addition, stator and rotor resistances are estimated using a simple but effective recursive least squares (RLS) method combined with the so-called SM observer. The proposed control idea is experimentally implemented in real time using a FPGA board synchronized with a personal computer (PC). Simulation and experimental results are presented to show the capability and validity of the proposed control method.

• Journal of Power Electronics
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• v.11 no.6
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• pp.846-855
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• 2011

This paper proposes a control mode switching scheme between vector control and constant V/f control for induction machine (IM) drives for maximum torque utilization in a higher speed region. For the constant V/f scheme, a smooth transition method from the linear range of PWM up to the six-step mode is applied, by which the machine flux and torque can be kept constant in a high-speed range. Also, a careful consideration of the initial phase angle of the voltage in the transient state of the control mode change between the vector control and V/f schemes is described. The validity of the proposed strategy is verified by the experiment result for a 3-kW induction motor drives.

• Journal of Electrical Engineering and Technology
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• v.5 no.1
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• pp.129-139
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• 2010

To be satisfied with complex load condition of electric vehicle, fuzzy logic control (FLC) is applied to improve speed response and system robust performance of induction traction machine based on indirect rotor field orientation control. The proposed propulsion system consists of two induction motors (IM) that ensure the drive of the two back driving wheels of lightweight electric vehicle by means the vehicle used for passenger transportation. The electronic differential system ensures the robust control of the vehicle behavior on the road. It also allows controlling, independently, every driving wheel to turn at different speeds in any curve. Our electric vehicle fuzzy inference system control's simulated in Matlab SIMULINK environment, the results obtained present the efficiency and the robustness of the proposed control with good performances compared with the traditional PI speed control, the FLC induction traction machine presents not only good steady characteristic, but with no overshoot too.