• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.4
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• pp.575-579
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• 2006

In this paper, an instantaneous speed observer with a reduced order is proposed to implement an indirect control for a motor with excellent dynamic stability and performance in a very low speed region. The proposed observer can estimate the instantaneous speed in very low speed region and simplify the system configuration by adopting an least order load torque-inertia observer to estimate the load torque and the motor speed. Simulation are carried out to illustrate the performance of the proposed estimator at very low speed.

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.234-236
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• 2005

In this paper, an instantaneous speed observer with a reduced order is proposed to implement an indirect control for an motor with excellent dynamic stability and performance in a very low speed region. The proposed observer can estimate the instantaneous speed in very low speed region and simplify the system configuration by adopting a least order load torque-inertia observer to estimate the load torque and the rotor speed. Simulation are carried out to illustrate the performance of the proposed estimator at very low speed.

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.693-695
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• 1997

This paper deals with the tracking control problem of robotic manipulators with unknown or changing dynamics. The torque input applied to the joint actuators is determined at every instance by the identification model that best approximates the robot dynamics. The best of the identified model is chosen by the proposed switching mechanism with fuzzy inference of the manipulator in an indirect adaptive controller architecture. Simulation results are also included to demonstrate the improvement in the tracking performance when the proposed method is used.

• Proceedings of the KIEE Conference
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• 2003.04a
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• pp.248-252
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• 2003

This paper has a control method proposed for the effective self-tuning fuzzy speed control based on neural network of the induction motor indirect vector control. The vector control of an induction motor provides the decoupled control of the rotor flux magnitude and the torque producing current to performance is desirable. But, the drive performance often degrades for the machine parameter variations and its condition give rise to coupling of flux and torque current. The fuzzy speed control of an induction motor has the robustness about machine parameter variations compared with conventional PID speed control in a way. That proved to be some waf from the true. The purpose of this paper is to improve the adaptation by offering self-turning function to fuzzy speed controller. In this paper, the adaptive mechanism of fuzzy speed control in used ANN(Artificial Neural Network) technique is applied in an IFO induction machine drive, such that the machine can follow a reference model (an ideal field oriented machine) to achieve desired speed. In this paper proved the self-turning method of fuzzy controller has the robustness about parameter variation and the wide range of adaptation by simulation.

• Proceedings of the KIEE Conference
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• 1996.07a
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• pp.285-288
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• 1996

Iron loss is a possible source of performance deterioration, especially for a torque regulation, in field oriented induction machine. In this paper, study on the model of an induction machine with iron losses, a flux estimation strategy, the design of direct and indirect field oriented controller, a precise torque regulation scheme and the determination of a core lost resistance are discussed. Simulation and experimental results are also included and show the effectiveness of the proposed analysis and the proposed control strategy.

• Proceedings of the KIEE Conference
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• 1999.07f
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• pp.2770-2772
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• 1999

This paper discusses the basic principle of vector control applied to induction motors. A indirect strategy for impressed stator currents control is used for system modeling. IRFOC for induction motor was modelled using "Matlab with Simulink" IRFOC be applied to 15kW induction motor is simulated in different conditions; step changes in torque at a fixed reference speed, and cyclic change of speed reference. Simulation result considering the variation of stator, rotor resistance includes the response of speed, torque and rotor d-q fluxes.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2001.11b
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• pp.65-68
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• 2001

In the vector control methods of induction motor, the stator current is divided into the flux and torque component current. By controlling these components respectively, the methods control independently flux and torque as in the DC motor and improve the control effects. To apply the vector control methods, the position of the rotor current is identified. The indirect vector control use the parameters of the machine to identify the position of rotor flux. But due to the temperature rise during machine operation, the variation of rotor resistance degrades the vector control. To solve the problem, the q-axis is aligned to reference frame without phase difference by comparing the real flux component with the reference flux component. Then to compensate the slip, PI controller is used. The proposed method keeps a constant slip by compensating the gain of direct slip frequency when the rotor resistance of induction motor varies. To prove the validations of the proposed algorithm in the paper, computer simulations is executed.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.2
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• pp.238-245
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• 2018

This paper proposes the applicability of matrix converter topology for the speed control of direct current motors. Matrix convertesr are divided into direct and indirect components. This paper utilizes an indirect matrix converter which is expected to be used widely because of making a variety of output side. The proposed converter has advantages which improves input current shape, has no large energy storage component causing short life. Simulation results are provided to verify effectiveness by comparing and analyzing features of the proposed and conventional topology. The proposed method shows similar performance for speed control, torque control, and load current control compared to a conventional method. Furthermore Harmonics are greatly reduced because the input current is controlled in a manner similar to sinusoidal wave by directly controlling switches at the rectifier stage.

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.2
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• pp.201-208
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• 1999

This paper presents the degradation of the system performance according to the vmiation of the rotor time constant. The algorithm for the on-line estimation of rotor time constant is proposed. which is applied to the consistent relationship between the tangent torque angle of the synchronous reference frame and that of stationary reference f frame. For the purpose of the validity of proposed algorithm. the computer simulation and the experiments have been p performed.

• Journal of Power Electronics
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• v.11 no.4
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• pp.418-423
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• 2011

This paper presents a simulation model and a parameter identification scheme of an induction motor drive for electric vehicle. The induction motor in automotive applications should operate in very high efficiency and achieve the maximum-torque-per-ampere (MTPA) feature even with saturated magnetic flux under very high torque. The indirect vector control which is typically adopted in traction drive system requires precise information of motor parameters, particularly rotor time constants. This work models an induction motor considering magnetic saturation and proposes an empirical identification method using the current controller in the synchronous reference frame. The proposed method is applied to a 22kW-rated induction motor for electric vehicle.