• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3634-3641
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• 2012

This paper introduced a previous study which suggest ways to improve problems of drive control system of Ropeless Elevator when developing prior to commercialization of Ropeless Elevator. In particular, this study also manufactured motor, linear speed sensor and the miniature systems to study the implementation of the Ropeless Elevator drive. This study examined the problem of conventional PI controller through the speed control test and focused on the advanced controller based on disturbance observer for Ropeless Elevator drive. The results of this study confirmed the feasibility of the Ropeless Elevator and showed the satisfactory results of drive control techniques. This study also extracted many more problems that still need to be improved in the future for commercializing such as the sensor, high-performance controller, precision structures, safety devices and so on.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1743-1750
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• 2003

DC motor requires a rotor speed sensor for accurate speed control. The speed sensors such as resolvers and encoders are used as a speed detector, but they increase cost and size of the motor and restrict the industrial drive applications. So in these days, many papers have reported in the sensorless operation of DC motor〔3­5〕. This paper presents a new sensorless strategy using neural networks〔6­8〕. Neural network has three layers which are input layer, hidden layer and output layer. The optimal neural network structure was tracked down by trial and error, and it was found that 4­16­1 neural network structure has given suitable results for the instantaneous rotor speed. Also, learning method is very important in neural network. Supervised learning methods〔8〕 are typically used to train the neural network for learning the input/output pattern presented. The back­propagation technique adjusts the neural network weights during training. The rotor speed is gained by weights and four inputs to the neural network. The experimental results were found satisfactory in both the independency on machine parameters and the insensitivity to the load condition.

• Journal of Advanced Navigation Technology
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• v.10 no.3
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• pp.191-197
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• 2006

In the paper propose a sensorless sliding mode control method of an induction motor using an adaptive speed control. The control objective is apply to adaptive speed observer instead of a encoder and to remove errors using the sliding mode current controller by parameters variation and disturbances that include the current controller. A stability of the sliding mode current controller and the adaptive speed observer using a design controller is guaranteed by the Lyapunov stability criterion. The performance of the proposed control system is demonstrated by simulation using the matlab silmulink and experimental results using induction motor show that the proposed method can apply an induction motor control.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1193-1194
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• 2008

본 논문은 주거환경 변화 및 공기 중 부유물질로 인한 피해를 보호하기 위해 제정된 공기질 관리법안에 적합한 대기 환경 조건을 구현하기 위한 고정압 환풍기용 모터 및 제어 알고리즘에 관한 논문이다. 외기에 압력이 변화하는 외란에도 일정한 풍량을 낼 수 있도록 하기 위해서 속도와 전류의 두 물리량을 곱의 형태로 취하여 profile을 만들고 이에 추종하는 방식을 본 논문에서 제안하였다. 제품의 상용화를 위해서 풍량센서가 없는 센서리스 방식을 구현하기 위해서 전류 값을 토대로 압력 변화량을 일정하게 제어하는 방식을 취하였다. 고정압제어를 위해서 Open-loop상태에서 모터의 P-Q(압력-풍량)data를 측정하고 이를 기초로 예상 구동 영역을 유추하고 이를 토대로 Profile을 만들고 이 Profile을 추종하는 제어를 통해서 고정압제어를 실현하였다. Reference로 속도를 기준으로 하였으며, 동일 속도에서 전류의 값을 비교하여 제어하고자 하는 전류 값이 되도록 함으로써 정압을 실현하였다.

• The Transactions of the Korean Institute of Power Electronics
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• v.9 no.3
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• pp.246-252
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• 2004

This paper presents a position sensorless control system of Switched Reluctance Motor (SRM) using neural network. The control of SRM depends on the commutation of the stator phases in synchronism with the rotor position. The position sensing requirement increases the overall cost and complexity. In this paper, the current-flux-rotor position lookup table based position sensorless operation of SRM is presented. Neural network is used to construct the current-flux-rotor position lookup table, and is trained by sufficient experimental data. Experimental results for a 1-hp SRM is presented for the verification of the proposed sensorless algorithm.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.2
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• pp.120-130
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• 1999

In this paper, we show that the instantaneous phase current of the bifiler-wound hybrid stepping motor is dependent of lead angle and that the information of motor position is obtained from the instantaneous phase current at ${\pi}/2$ by the theoretical formular and its computer simulation results. From the facts, we design the microcontroller-based motor position sensorless controller of optimal lead angle, which generates the excitation pulses for the closed-loop drives. The controller is consist of microcontroller which has the function of A/D converter, programmable input/output timer, and the transfer table which has the values of optimal lead angle depending on motor velocity, and ROM which has the transfer table of the values of lead angle depending on velocity of motor and the values of instantaneous phase current at ${\pi}/2$. From the design of microcontroller-based controller, we minimize the external interface circuit and obtain flexibility by changing the contents of ROM transfer tables and the control software. We confirm that the designed controller drives the bifilar-wound hybrid stepping motor is the mode of optimal lead angle by comparing the instananeous phase current experimental results and computer simulation results.

• The Transactions of the Korean Institute of Power Electronics
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• v.9 no.5
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• pp.491-497
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• 2004

This paper presents a new rotor position estimation method for brushless DC motors. It is clear that the estimation error of the rotor position provokes the phase shift angle misaligned between the phase current and the back-EMF waveforms, which causes torque ripple in brushless DC motor drives. Such an estimation error can be reduced with the help of the proposed neutral voltage-based estimation method that is structured in the form of a closed loop observer. A neutral voltage appearing during the normal mode of the inverter operation is found to be an observable and controllable measure, which can be dealt with for estimating an exact rotor position. This neutral voltage is obtained from the DC-link current, the switching logic, and the motor speed values. The proposed algorithm, which can be implemented easily by using a single DC-link current and the motor terminal voltage sensors, is verified by simulation and experiment results.

• Proceedings of the KIEE Conference
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• 2002.07b
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• pp.939-942
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• 2002

본문의 내용은 영구자석을 사용한 단상 브러시리스 모타의 구동을 위한 H-Brdige 구동회로에 적용된 전류제어 회로에 관한 실험결과이다. 부하전류가 목표치 이상인 경우 enable 를 차단하면 순간적으로 센서저항의 전위가 0 으로 되고 이로인해 다시 순간적으로 스위칭이 이루어 지므로 매우 빠른 주기로 스위칭을 반복한다. 이 문제점을 해결하기 위하여 래칭회로를 필요로 하는데, 본 제안에서는 두 개의 NAND GATE 와 하나의 NOT GATE, 그리고 RC network 를 조합하여 LIP-FLOP 과 시지연을 이루는 방법을 실현하였다. 이와 같은 전류제어회로는 constant off time 의 특성을 가지는데, 일반적으로 사용되는 PWM 제어회로에 비하여 매우 단순하면서도, 저항부하 및 모타부하에 대해 공히 능동적으로 작동함을 입증하고 있다. 본문에서는 제안된 전류제한회로의 구조와 H-bridge 구동모드, 그리고 전기적 특성에 대한 연구결과를 설명한다.