• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.131-136
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• 2006

This paper described a robust control of an induction motor using a disturbance cancellation observer of a feedforward control with Matlab simulink. The speed response of conventional PI controller characteristics is affected by variation of load torque disturbance. In this system, the speed control characteristics using a feedforward control toughen about a load torque disturbance.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.907-912
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• 2020

When designing a controller, a motor can have robust and precise control performance only by considering the error of the motor's mathematical model and the disturbance acting on it. For robust and precise control, the mechanical and electrical disturbance observers were designed to estimate the disturbance, and applied to the speed controller and current controller designed as a nominal system. To confirm the control performance of the designed system, it is applied to a 120 [W] class BLDC motor, and the result of the speed tracking control overcomes disturbances, the steady state error converges to zero, and the asymptotically stable result can be confirmed.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.37 no.3
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• pp.72-83
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• 2000

This paper presents the implementation of the position control system for 3 phase induction motor using reaching mode controller and neural networks. The reaching mode controller is used to bring the position error and speed error trajectories toward the sliding surface and to train neural networks at the first time. The structure of the reaching mode controller consists of the switch function of sliding surface. And feedforward neural networks approximates the equivalent control input using the reference speed and reference position and actual speed and actual position measured form an encoder and, are tuned on-line. The reaching mode controller and neural networks are applied to the position control system for 3 phase induction motor and, are compared with a PI controller through computer simulation and experiment respectively. The results are illustrated that the output of reaching mode controller is decreased and feedforward neural networks take charge of the main part for the control action, and the proposed controllers show better performance than the PI controller in abrupt load variation and the precise control is possible because the steady state error can be minimized by training neural networks.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.2
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• pp.119-123
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• 2007

This paper investigates a speed sensorless control of induction motor. The control strategy is based on MRAS(Model Reference Adaptive System) using load-torque observer as a reference model for flux estimation. The speed response of conventional MRAS controller characteristics is affected by variations of load torque disturbance. In the proposed system, the speed control characteristics using a load-torque observer control isn't affected by a load torque disturbance. Control algorithm that propose whole system through MATLAB SIMULINK because do modelling simulation result are presented to prove the effectiveness of the adaptive sliding mode controller for the drive variable load of induction motor. Therefore we hope to be extended in industrial application.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.247-248
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• 2014

유도 전동기의 센서리스 방법 중 적응 자속 관측기 기반의 센서리스 제어는 유도 전동기의 고정자 전압과 전류로부터 정지 좌표계 상의 고정자 전류와 회전자 자속을 추정하고, 추정된 회전자 자속과 고정자 전류 추정 오차로부터 회전자 속도를 추정하는 방식으로, 산업계에서 널리 사용되는 유도 전동기 속도 센서리스 제어 방식 중 하나이다. 기존의 적응 자속 관측기는 중/고속에서의 전류 추정 성능이 저하되어 중/고속에서의 제어 성능이 저하되는 단점이 있어 왔다. 본 논문에서는 이러한 단점을 개선하기 위한 개선된 적응 자속 관측기의 설계 방법을 제안하고 3.7kW 유도 전동기를 이용한 실험을 통하여 제안된 방식의 성능을 검증한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.4
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• pp.70-74
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• 1998

Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID contoller has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. In this paper, PID-supervision hybrid control methods for motor control system (without the supervisory controller) is stable in the sense that the error is inside the constraint set, the supervisory control is idle. If the error hits the boundary of the constraint, the supervisory controller beings operation to force the error back to the constraint set. We prove that the PID-supervision hybrid control system is globally stable in the sense that the error is guaranteed to be within the tolerance limits specified by the system designer.

• The Transactions of the Korean Institute of Power Electronics
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• v.15 no.5
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• pp.361-368
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• 2010

This paper presents high speed position controller using stepping motor. The proposed position controller has close loop and open loop mode. In the high speed region, torque angle which is controlled by PI controller and memory based look-up table, is used to keep the reference position. The memory based look-up table produces a torque angle according to motor speed, and the PI controller can compensate the torque angle error. So, the fast dynamic response can be expected in the same position error. The open loop control mode which is divided by 3-modes control the actual position in the low speed and small position error. Each open loop modes are designed to reduce position error and dynamic brake in the stop command. The proposed position control scheme is verified by the practical stepping motor.

• The Transactions of the Korean Institute of Power Electronics
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• v.3 no.3
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• pp.240-245
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• 1998

This paper presents an improved sliding mode controller design for induction motor. In place of the discontinuous control inputs, continuous inputs are proposed in order to remove the undesirable chattering phenomena, which represent major drawbacks of the sliding mode controller. The design strategy is illustrated with a microprocessor based implementation for the velocity control of an induction motor. An induction motor is operated under sling mode control such that the motor angular velocity follows a predetermined trajectory. The experimental results confirm the validity of the proposed method.

• Proceedings of the KIPE Conference
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• 2006.06a
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• pp.7-9
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• 2006

본 논문에서 사용한 방법은 실제 운전에서 가장 많이 사용하는 전동기 회전자 시정수와 전동기 인덕턴스를 조절하는 것으로 시스템 구조에서 갖는 제어기를 사용하여 다른 전동기 오차에 무관한 정수를 얻는 방법을 사용하여 오차에 대한 민감도가 매우 높은 방법을 채택하였다. 하지만 이 방식에도 정수의 오차를 수동으로 조절하여야 하는 단점을 갖는다. 전동기 정수의 수동 조절은 매우 많은 시간을 투자해야 하는 결함을 갖는다. 따라서 본 논문에서는 전동기의 다른 정수의 오차에 무관하며 민감도가 매우 높은 제어기 구조를 이용하고, 더불어 수동으로 조절하던 번거러움을 제거하여 전동기 정수를 자동조율 기법을 제안하고자 한다.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1671-1672
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• 2008

전동기는 일반적으로 우리 일상에서 가장 많이 쓰이는 동력장치 중 하나이다. 이런 전동기를 제어함에 있어서 주기적 외란은 전체 시스템의 안정성에 큰 영향을 미친다. 특히, 정밀제어시스템에서는 반드시 고려되어야 할 요소이다. 본 논문에서는 신호처리기법의 일종인 IQ 변조 알고리즘을 이용한 제어기를 제안한다. 제안하는 제어알고리즘은 외란을 고려하지 않은 시스템모델에 대하여 설계되어진 제어기와 IQ 변조기법을 이용하여 외란을 추정하여 설계되어지는 제어기로 이루어진다. 이 제어 알고리즘은 전동기에서 발생하는 주기적 외란에 의한 오차를 현저하게 줄인다. 본 논문을 통해 제안하는 제어알고리즘의 우수성과 타당성을 검증한다.