• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.1
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• pp.74-81
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• 2001

The sensorless scheme for Switched Reluctance Motor(SRM) drives must have the robustness and reliability because the noise and error are sensitive. These elements make electrically noisy environments due to the proximity of high current power circuits with small signal electronic circuits when SRM drives. Also, due to the leakage inductances and finite coupling capacitances, these can cause the noise on any low voltage current and voltage measurement circuit. The position estimate error occurs because the current and voltage including the noise are sued as the inputs of sensorless algorithm. In this paper the high robustness and resistance of input noise re described. The fuzzy logic based rotor estimation algorithm and the observer model are used to reduce the tolerance of input data.

• Proceedings of the KIPE Conference
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• 2004.07b
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• pp.926-930
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• 2004

This paper presents a comparison of the characteristics by two types of switched reluctance motor (SRM) drives using search coils, Exterior pole search coil and Interior central pole search coil, which are used for estimation of the rotor position. The advantages and disadvantages of the two types of drive methods are also described.

• Proceedings of the KIPE Conference
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• 2012.11a
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• pp.227-228
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• 2012

본 논문에서는 스위칭 주파수의 구형파 펄스 전압 주입을 이용한 센서리스 제어시 회전자 초기 위치 추정 방법을 제안하였다. 추정된 동기좌표계 d축에 스위칭 주파수의 구형파 펄스 전압을 주입하여 회전자의 위치를 추정하고, 인덕턴스 포화현상을 이용하여 회전자의 극성을 판별하였다. 제안된 방법은 실험을 통하여 그 타당성을 검증하였다.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.52 no.4
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• pp.154-160
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• 2003

This paper is proposed a ANN-based rotor position and speed estimation method for IPMSM by measuring the currents. Because the proposed estimator treats the estimated motor speed as the weights, it is possible to estimate motor speed to adapt back propagation algorithm with 2 layered neural network. The proposed control algorithm is applied to IPMSM drive system. The operating characteristics controlled by neural networks are examined in detail.

• Proceedings of the KSR Conference
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• 2003.05a
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• pp.444-449
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• 2003

This paper presents a vector control method for the parallel-connected motor drive system. In this paper new estimation scheme of rotor flux position is presented to reduce sensitivity due to load difference between the motors. To confirm the validity of the proposed control method, we compare a simulation result of the proposed control method with that of the conventional indirect vector control method. The simulation results show that the proposed control method is effective the step change in load torque.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.241-242
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• 2014

본 논문에서는 PWM 스위칭 주파수 신호 주입 센서리스 제어와 전압 펄스 인가 방법을 혼합한 회전자의 초기 위치 추정 기법을 제안하였다. d축 전류제어기 출력에 PWM 스위칭 주파수의 펄스 전압 신호를 주입하여 회전자의 위치를 추정하고, 추정한 위치에 해당하는 전압 벡터를 인가하여 자기 포화에 따른 인덕턴스의 차이를 이용함으로써, 회전자 영구자석의 극성을 판별하였다. 실험을 통하여 제안된 기법의 타당성을 검증하였다.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.649-652
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• 2003

In this paper, we presents a vector control method for the parallel-connected motor drive system. The new estimation scheme of rotor flux position is presented to reduce sensitivity due to load difference between the motors. To confirm the validity of the proposed control method. we compare a simulation result of the proposed control method with that of the conventional indirect vector control method. The simulation results show that the proposed control method is more effective for change in load torque and motor parameters.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.4
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• pp.185-191
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• 2010

This paper describes a new position sensorless control for the switched reluctance motor (SRM) by monitoring the rate of change of current with respect to the inductance variation. Two consecutive switch-on times in hysteresis current control are compared to calculate the rate of change of current and hence to estimate the rotor position and speed. The proposed sensorless control algorithm is simple to implement as it does not depend on extensive computation or additional hardware. Simulation and experimental results are presented to demonstrate the feasibility of the proposed sensorless control method.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.55 no.2
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• pp.98-106
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• 2006

This paper proposes to position and speed control of interior Permanent magnet synchronous motor(IPMSM) drive without mechanical sensor. Also, this paper develops a adaptive fuzzy controller based fuzzy logic control for high performance of PMSM drives. In the proposed system, fuzzy control is used to implement the direct controller as well as the adaptation mechanism. A Gopinath observer is used for the mechanical state estimation of the motor. The observer was developed based on nonlinear model of IPMSM, that employs a d-q rotating reference frame attached to the rotor. A Gopinath observer is implemented to compute the speed and position feedback signal. The validity of the proposed scheme is confirmed by various response characteristics.

• Proceedings of the KIEE Conference
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• 2005.10c
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• pp.98-100
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• 2005

DSPs used at motor control are usually fixed point processor. They need scaling because they cannot excute floating point calculation. Scaling for floating point calculation makes the DSP's speed down, complex coding and etc. Therefore the IQ math is adopted. IQ math makes the fixed point processor possible to calculate the floating point math. In addition, IQ math can reduce memory usage and be more faster than that without IQ math. It seems that IQ math is appropriate in motor position control. In comparison of the position calculation between the IQ math, math function and the sine table, the method using IQ math is superior than other methods.