• Proceedings of the KIEE Conference
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• 2004.10a
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• pp.179-181
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• 2004

This paper is proposed an adaptive fuzzy-neural network(A-FNN) controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed estimation of induction motor using A closed-loop state observer. The rotor position is calculated through the stator flux position and an estimated flux value of rotation reference frame. A closed-loop state observer is implemented to compute the speed feedback signal. The results of analysis prove that the proposed control system has strong robustness to rotor parameter variation, and has good steady-state accuracy and transitory response.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.8
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• pp.71-78
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• 2012

Recently, it is increased to apply sensorless drive for BLDC (Brushless DC) motor to maximize operating efficiency and fuel efficiency to an electrical component of (H)EV. Especially, Electric vehicle component promotes a fuel efficiency enhancement by the carbon dioxide emissions regulation of a vehicle becoming the principal of the environmental pollution globally, the oil price hike that continued increasingly. We suggested the air compressor which applied BLDC motor for electric vehicle component and compared suggested BLDC motor with the conventional DC motor. The experimental results show that the driving efficiency was increased and was inproved compressive force by suggested BLDC motor.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.05a
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• pp.311-315
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• 2007

In this paper, a new approach for the Synchronous Reluctance Motor control which ensures producing Maximum Torque per Ampere(MTPA) over the entire field weakening region is presented. In addition, This paper presents a speed sensorless control scheme of SynRM using artificial neural network. Also, by adjusting the base speed for the field weakening operation according to the flux level, the current and voltage limit, the smooth and precise transition into the field weakening operation can be achieved The proposed scheme is verified validity through simulation.

• Proceedings of the KIPE Conference
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• 2014.11a
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• pp.31-32
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• 2014

전압형 인버터를 이용한 전동기 구동시스템에서, 출력전압의 비선형성은 역기전력기반 센서리스의 성능에 큰 영향을 미친다. 역기전력기반 센서리스는 전압방정식을 이용하기 때문에 출력전압에 대한 정보가 필요한데 일반적인 인버터에는 출력전압을 측정하는 센서가 없어 출력전압지령을 출력전압과 같다고 가정하고 사용한다. 그러나 인버터의 비선형성으로 인해 전압지령과 실제 출력되는 전압간의 차이가 발생하게 되어 각 추정오차가 생기게 되고 센서리스의 성능을 떨어트린다. 인버터 비선형성의 주원인인 데드타임에 의한 영향을 보상하기 위해서 여러 가지 방법들이 연구되었지만 전류의 크기가 낮은 저속, 저부하 상황에서는 여전히 오차가 존재 하였다. 본 논문에서는 전압오차가 발생할 수 있는 저전류 구간을 최대한 줄이도록 전류의 형태를 바꾸어 저속 저부하 상황에서의 전압오차를 최소화 하였다. 이를 통해서 역기전력 기반의 센서리스의 저속영역 특성을 개선하였고 실험을 통해 그 효용성을 검증하였다.

• Journal of information and communication convergence engineering
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• v.18 no.3
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• pp.201-206
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• 2020

This paper presents a new method for controlling the current of lighting LEDs without current sensors. This method can be used as backup against LED current sensor faults. LED lighting requires a circuit with a constant current in order to maintain the same brightness when the ambient temperature changes. Therefore, we propose a new current estimation method to provide backup in case of current sensor faults based on the calculation of the inductor current. In the fabricated circuit, the average current changes from 144.03 mA to 155.97 mA when the ambient temperature changes from 0℃ to 60℃. The application of this study can enable the fabrication of a driving IC for LEDs in the form of a single chip without sensing resistors. This is expected to reduce the complexity of the peripheral circuit and enable precise feedback control.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.3B no.1
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• pp.52-58
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• 2003

The application of a sliding mode control for improving the dynamic response of an induction motor based speed control system is presented in this paper and provides attractive features, such as fast response, good transient performance, and insensitivity to variations in plant parameters and external disturbance. However, chattering is a difficult problem for which the sliding mode control is a popular solution. This paper presents a new fuzzy-sliding mode controller for a sensorless vector-controlled induction motor servo system to practically eliminate the chattering problem for traction applications. A DSP based implementation of the speed control system is employed. Experimental results are presented using a propulsion system simulator. The performance of the drive is shown to be practically free from chattering.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.706-710
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• 1988

Using back electro-motive force(EMF) signals of a brushless DC motor, the sensorless micro-processor controlled drive system was developed. In this new commutation method, the manual pulses are used for relatively short accelerating phase and then the exact commutational positions are detected based upon the back emf signals. The hardware and software implementations with the experiment to compare the performance of the developed system with the, conventional system using hall effect sensors are included. By reducing the number of the required sensors in the artificial heart control system, the total reliability will be incresed.

• Proceedings of the KIEE Conference
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• 2004.04a
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• pp.177-180
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• 2004

This paper is proposed a fuzzy neural network controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed estimation and control of speed of induction motor using ANN Controller. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new method.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.970-971
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• 2008

본 논문은 하이브리드 전기자동차를 위한 에어컨 압축기용 구동 드라이브에 대해 연구하였다. 전기자동차의 경우 열악한 환경에서 구동되기 때문에 센서리스 타입은 필수적이며, 고효율화와 고집적화를 위해서 매입형 영구자석 전동기 IPMSM (Interior Permanent Magnet Synchronizing Motor)을 사용하였다. 본 논문에서 사용된 IPMSM은 비정현적인 역기전력과 입력전류를 가지기 때문에 기존 IPMSM의 센서리스 방식은 불가능하다. 이를 해결하기 위해 최소차원의 관측기를 구성하고 속도함수에 의한 가변차단주파수에 의한 강인한 필터회로를 이용한 새로운 제어 알고리즘을 제안하였다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2008.05a
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• pp.231-234
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• 2008

The permanent magnet BLDC motors are increasingly being used in high performance applications due to the high torque density and simplicity in their control. In this paper, the control system of the BLDC motor is developed which can be used for the micro motor handpiece, and position sensorless control is realized using back EMF measurement scheme, The validity and practical applications of the developed slotless BLDC motor and drive system are verified through the experimental results.