• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.237-243
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• 2015

In this paper, we consider a cascaded type of control architecture for a multi motor-based feedback control system and propose an ADC (Analog to Digital Converter) resource allocation method to efficiently utilize the limited ADC resources. The purpose of the resource allocation method is to minimize both the motor position measurement error and the d-q current measurement error. The cascaded type of control architecture is applied in parallel to each motor to independently control the speed of a motor in the multi motor control system. All the control algorithms are implemented by software using a single microcontroller without using additional microcontrollers. It is illustrated by experiments that the speed and the torque of each motor are controlled precisely by the proposed control architecture with the efficient ADC allocation method.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.5 no.4
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• pp.8-14
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• 1991

In this paper, the variable speed control of permanent magnet synchronous motor driven by a sinusoidal PWM inverter based on maximun torque sensitivity is presented. The developed torque or speed control is achieved by the field orientation technique. For the field orientation, the resolver is used as the rotor positioning sensor mounted on the motor shaft without pull-out of the synchonism at any speed. To show the validity of proposed control method, the simulation and experimental results are provided. The advantages of the proposed control method are to achieve the fast current and speed responses.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1915-1919
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• 2004

In this paper, we propose a new discrete-time predictive current controller for a PMSM(Permanent Magnet Synchronous Motor). The main objectives of the current controllers are to ensure that the measured stator currents tract the command values accurately and to shorten the transient interval as much as possible, in order to obtain high-performance of ac drive system. The conventional predictive current controller is hard to implement in full digital current controller since a finite calculation time causes a delay between the current sensing time and the time that it takes to apply the voltage to motor. A new control strategy in this paper is seen the scheme that gets the fast adaptation of transient current change, the fast transient response tracking and is proposed simplified calculation. Moreover, the validity of the proposed method is demonstrated by numerical simulations and the simulation results will be verified the improvements of predictive controller and accuracy of the current controller.

• Proceedings of the KIEE Conference
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• 1991.11a
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• pp.167-170
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• 1991

The back e.m.f. of PMSM is increased as the speed is increased and it saturates the current regulator because it counteracts the available output voltage of the inverter. In the PM motor, however, the required armature terminal voltage can be reduced within the maximum output voltage of the inverter by field weakening control, in which the air gap flux is weakened by the d-axis armature current. In this paper, the field weakening control of the surface PMSM fed by a hysteresis current control led PWM inverter based on the microprocessor is presented. To show the validity of the proposed control method, the simulation and experimental results are provided.

• Proceedings of the KIEE Conference
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• 2006.04b
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• pp.146-148
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• 2006

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications. This paper proposes efficiency optimization control of IPMSM drive using AFLC-FNN(Adaptive Fuzzy Learning Control Fuzzy Neural Network)controller. In order to maximize the efficiency in such applications, this paper proposes the optimal control method of the armature current. The optimal current can be decided according to the operating speed and the load conditions. This paper proposes speed control of IPMSM using AFLC-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled AFLC-FNN controller, the operating characteristics controlled by efficiency optimization control are examined in detail.

• Proceedings of the KIPE Conference
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• 2003.07a
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• pp.461-466
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• 2003

This paper presents the speed control of the surface-mounted permanent-magnet synchronous motors (SMPMSM) for the elevator drive. The elevator motor needs to be a compact and slim type. Essentially, the proposed scheme uses a vector control algorithm for a speed and torque control. This system is implemented using a high speed 32-bit DSP (TMS320C31-50), a high-integrated logic device FPGA (EPF10K10-Tl144-3) to design compactly and Inexpensively The proposed scheme is verified through digital simulation and experiments for a three-phase 13.3kW SMPMSM as a MRL(MachineRoomless) elevator motor ill the laboratory. Finally, experiment of the test tower was performed with a 48kW PWM converter-inverter system for a high- speed elevator .

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.56 no.2
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• pp.74-82
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• 2007

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. This paper proposes efficiency optimization control of IPMSM drive using adaptive fuzzy learning control fuzzy neural network (AFLC-FNN) controller. In order to maximize the efficiency in such applications, this paper proposes the optimal control method of the armature current. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the optimal control of the armature current. The minimization of loss is possible to realize efficiency optimization control for the proposed IPMSM. The optimal current can be decided according to the operating speed and the load conditions. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using AFLC-FNN controller. Also, this paper proposes speed control of IPMSM using AFLC-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled AFLC-FNN controller, the operating characteristics controlled by efficiency optimization control are examined in detail.

• Journal of Power Electronics
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• v.10 no.5
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• pp.477-484
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• 2010

A pulse width modulation-voltage source inverter (PWM-VSI) is used for variable speed permanent magnet synchronous motor (PMSM) drives. The PWM-VSI fed PMSM has two major disadvantages. Firstly, the PWM-VSI DC-link voltage limits the magnitude of the PMSM terminal voltage. As a result, the motor speed is restricted. Secondly, in a low speed range, the PWM-VSI modulation index declines. This is caused by a high DC-link voltage and a low terminal voltage ratio. As a result, the distortion of the voltage command and the stator current are increased. This paper proposes an optimal pulse amplitude modulation (PAM) control which can adjust the inverter DC-link voltage by using a buck-boost DC-DC converter. At a low speed range, the proposed system can reduce the distortion of the voltage command, which improves the stator current waveform. Also, the allowable speed range is extended. In order to verify the proposed method, experimental results are provided to confirm the simulation results.

• The Transactions of the Korean Institute of Power Electronics
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• v.16 no.2
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• pp.191-198
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• 2011

In this paper, the fault diagnosis scheme for PMSM drives has been proposed to maintain control performance under a switch open-phase fault of inverter. When the open-phase fault occurs, the stator resistances of PMSM are estimated by Extended Kalman Filter (EKF) in real time and can appear differently according to the location of fault occurrence to check the fault detection and identification. The control algorithm is configured without the additional device and low cost by adding the existing control program. Also, by using motor parameter the estimated stator resistance value improves the control performance of the controller affected by parameter variation. The feasibility of the proposed fault diagnosis algorithm is validated in simulation and experiment.

• Journal of Electrical Engineering and Technology
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• v.8 no.5
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• pp.1056-1061
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• 2013

The widely used motors in HEV(Hybrid Electric Vehicles) are IPMSM(Interior Permanent Magnet Synchronous Motor) which has no rotor heat, higher efficiency and advantageous in volume and weight comparing with other motors. For vector control of IPMSM, position information of rotor is required but Resolver is mainly used as the detecting sensor. However, the use of position sensors will reduce the system reliability of hybrid electric vehicles. In this paper, a way to control the motor by sensorless was proposed at the event of sensor failure. We also implemented IPMSM sensorless operation by the expanded EMF(Electro Motive Force) voltage way and harmonic voltage which is applying in the low speed area. And we proposed how to change with sensorless control by detecting the position sensors failure and verified it through experiments.