• The Transactions of the Korean Institute of Power Electronics
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• v.3 no.4
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• pp.346-352
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• 1998

본 논문에서는 새로운 신경 회로망 유도 전동기 속도 추정 방법을 제안하고, 추정된 속도를 이용하여 속도 센서리스 벡터 제어를 구현한다. 제안된 신경 회로망 속도 추정 방법은 정상 상태뿐 아니라 과도 상태에서도 정확한 속도를 추정한다. 또한 off-line에 의해 사전 학습을 필요로 하지 않고, 유도 전동기의 구동과 동시에 on-line 학습을 통하여 속도를 실시간으로 추정함으로써 구현이 용이하다. 디지털 시뮬레이션과 2.2kW 유도 전동기 시스템을 이용한 실험을 통하여 제안된 알고리즘의 효용성과 성능을 입증한다.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.163-167
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• 2014

To prove the vibration and speed error problems caused by the nonlinear friction characteristics and load variation of the hydraulic system, a PID speed controller and a load compensation controller for the hydraulic inverter-fed elevator are proposed. The load compensation controller is composed by the PI controller and the speed controller is composed by the PID controller. The P,I and D gains of the control parameters are obtained by the frequency response of system transfer function. The Effectiveness of the proposed controller are shown by experimental results, which the proposed controller yields robustness with load variations and stable and good speed and acceleration responses with less oscillations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.567-570
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• 2004

기존의 엘리베이터 시스템은 모든 교통 상황에 대해서 고정된 속도 패턴을 사용함으로써 교통량 변화에 다양한 속도 패턴을 제공 할 수 없었다. 운송 속도와 승차감은 엘리베이터 속도 패턴을 결정하기 위한 두개의 중요한 요소이다. 기동과 정지 시에 변속 충격을 줄이기 위해서 가속과 감속 시간이 적절히 조정되어졌다. 운송능력을 향상시키기 위해서 교통량 변화에 맞추어 저크를 조정하였고 이와 같은 방법으로 6개의 속도 패턴 곡선과 엘리베이터의 속도 제어를 위해서 뉴로 퍼지 시스템을 구현하였다. 구현된 뉴로 퍼지 시스템은 2개의 입력변수와 1개의 출력을 가진 시스템이다. 전반부는 교통량의 변화를 나타내며 후반부는 입력에 대응되는 속도 패턴을 적용시켰다.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.2
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• pp.107-112
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• 2013

In the paper, velocity controller of switching module and temperature controller for the high-voltage static var compensator are proposed. Because of the continuous increase in demand for electric power, transmission and distribution facilities of power plant are required. There is a bottleneck problem of transportation routes according to new construction and expansion of power transmission facilities. Therefore there are researches to maximize the utilization of existing facilities and to increase transmission capacity without new construction. The previous static var compensator detects voltage of input circuit of power, switches the SCR directly and generates switching noise. The proposed method increases switching velocity and decreases noise using switching control based on the voltage between both sides of SCR. Also the proposed method enhance the stability using realtime temperature control for heating of the system from increase of switching velocity. We experiment the velocity and temperature control of the proposed high-voltage static var compensator in the real environment and verify the performance of the proposed system by applying in the real field.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.699-708
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• 2021

In this paper, a steering control and speed control algorithm was presented for autonomous driving based on two vision sensors and road speed sign board. A car speed control algorithm was developed to recognize the speed sign by using TensorFlow, a deep learning program provided by Google to the road speed sign image provided from vision sensor B, and then let the car follows the recognized speed. At the same time, a steering angle control algorithm that detects lanes by analyzing road images transmitted from vision sensor A in real time, calculates steering angles, controls the front axle through PWM control, and allows the vehicle to track the lane. To verify the effectiveness of the proposed algorithm's steering and speed control algorithms, a car's prototype based on the Python language, Raspberry Pi and OpenCV was made. In addition, accuracy could be confirmed by verifying various scenarios related to steering and speed control on the test produced track.

• 전기의세계
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• v.36 no.9
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• pp.658-664
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• 1987

최적이득을 구하는 해석적인 방식으로 안정여유에 의한 최적화방식과 공액경사법에 의한 최적화방식을 살펴보았으며, 두방식을 비교해 보면 몇몇 문제점이 존재하나 다음의 몇가지 점에서 공액경사법에 의한 최적화방식이 더 우수하다는 것을 알 수 있다. 1) 제어루우프내의 제어기 수에 관계없이 이 방식을 쉽게 적용할 수 있다. 2) 시스템을 수식으로 모델링할 때 거의 간략화함이 없이 표현하므로 실제 시스템과의 오차를 줄일 수 있다. 3) 평가함수 내의 가중치를 조정하여 원하는 과도응답을 가지는 최적이득으로 유도할 수 있다. 공액경사법에 의한 최적화방식은 벡터제어나 전류제어PWM등 보다 복잡한 제어루우프에도 쉽게 적용시킬 수 있으며 직류기 및 서보전동기의 속도 및 위치 제어시스템에도 적용이 가능하다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.212-218
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• 2007

This paper presents a implementation of speed sensorless vector control of induction motor using MATLAB/SIMULINK and dSPACE DS1104. Proposed flux estimation algorithm, which utilize the combination of the voltage model based on stator equivalent model and the current model based on rotor equivalent model, enables stable estimation of rotor flux. Proposed rotor speed estimation algorithm utilizes the estimated flux. And the estimated rotor speed is used to speed control of induction motor. Overall system consists of speed controller, current controller, and flux controller using the most general PI controller. Speed sensorless vector control algorithm is implemented as block diagrams using MATLAB/SIMULINK. And realtime control is performed by dSPACE DS1104 control board and Real-Time-Interface(RTI).

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.9 no.1
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• pp.54-62
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• 1995

This paper is a study on a speed control of an induction motor used the MRA-DSM(Mode1 Reference Adaptive-Discrete Sliding Mode) controller. In this paper, when controls motor speed, DSM algorithm is proposed for having Robustness against disturbance and parameter variation. and it is also proposed MRA-DSM including the additional load model reference algorithm, which can be compensated the discontinuous control imputs at sliding mode and followed the model Preference independent of parameter variation of control subjects. The control system is composed of the parallel processing control system using the microprocessor for maximizing the performance of control systems and the real time processing. Also it simplifies the hardware composed of controlling the system by software and improves the reliability of the system. And while MRA-DSM control, faster response characteristics of 27.2 % is obtained than DSM control.

• Journal of the Korean Society for Precision Engineering
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• v.2 no.3
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• pp.13-19
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• 1985

Servo의 안정성: Servo는 정상상태, 과도상태의 특성을 문제삼기에 앞서 먼저 안정하지 않으면 안된다. 제어량과 제어편차와 같이 제어 loop 속의 신호가 일정치에 수검하지 않는 현상을 불안정이라 한다. 제어량의 feedback을 정(positive)으로 하며 일반 목표치에는 수검하지 않고 제어편차는 단조롭게 정, 또는 부(negative)의 방향으로 발산한다. 이것은 접속 잘못에 의한 이상현상에 속한다. 이것에 대해서, 부 feeeback으로 하여도 제어 량이 목표치에 수검하지 않고 지속적으로 진동하는 불안현상도 있다. 이들은 선형발진과 비선형발진으로 구분할 수 있다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.2
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• pp.115-124
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• 2009

This paper proposed an adaptive fuzzy controller for controlling speed and positions of a container crane. The motor used in container crane is installed as SynRM with variable-speed drive having the robustness on the problems of energy and environment. The conventional PI controller is not able to accurately track the position, speed and sway angle of trolley due to the factors of environment and the parameter variety. In the paper, we analyzed the performance of SynRM derive applied to the container crane by using an adaptive fuzzy control of SynRM in order to solve those problems. This paper analyzed the characteristics of position and speed response and compared the performance of PI controller with an adapative Fuzzy controller, proving the validity.