• Proceedings of the KIEE Conference
• /
• 2008.04c
• /
• pp.122-124
• /
• 2008

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. In order to maximize the efficiency in such applications, this paper proposes the Adaptive-FNIS(Fuzzy Neural Network Inference System). The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the optimal d-axis current $i_d$. This paper considers the parameter variation about the motor operation. The operating characteristics controlled by efficiency optimization control are examined in detail.

• Proceedings of the KIEE Conference
• /
• 2007.04c
• /
• pp.94-96
• /
• 2007

This paper is proposed an efficiency optimization control algorithm for IPMSM which minimizes the copper and iron losses. The design of the speed controller based on adaptive fuzzy teaming control-fuzzy neural networks(AFLC-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the AFLC-FNN controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
• /
• 2007.05a
• /
• pp.322-327
• /
• 2007

This paper is proposed an efficiency optimization control algorithm for IPMSM which minimizes the copper and iron losses. The design of the speed controller based on adaptive fuzzy learning control-fuzzy neural networks(ABLC-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the AFLC-FNN controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm

• Journal of Electrical Engineering and Technology
• /
• v.11 no.3
• /
• pp.670-674
• /
• 2016

The control performance of hybrid PWM inverter using a phase current measurement is presented in this paper. The hybrid PWM technique consists of space vector pulse width modulation (SVPWM) and six-step voltage control operation. The SVPWM is performed to reduce the harmonic components in the low speed region, and the six-step modulation is applied to increase the maximum speed of the IPMSM in the high speed region. Therefore, it is possible to obtain a great performance in both the low speed range and high speed range. However, the six-step modulation cannot be completely implemented, since the inverter that includes the lag-shunt sensing method has an immeasurable current region. In this paper, a quasi-six-step modulation using a modified voltage vector is proposed. The validity and usefulness of the proposed PWM technique is verified by MATLAB/Simulink and experimental results.

• Proceedings of the KIPE Conference
• /
• 2010.07a
• /
• pp.518-519
• /
• 2010

본 논문에서는 EV용 25kW급 In Wheel Type의 IPMSM을 제어 할 수 있는 구동장치를 제작하였다. 여기서 In Wheel Motor는 고성능의 전기모터를 Wheel에 직접 장착하여 파워트레인 요소를 모두 제거함으로써 차량 시스템의 효율을 높이고, 친환경 차량에 적용할 수 있는 신개념의 플랫폼을 제공할 수 있는 고효율, 고성능 차량 시스템이다. 따라서 본 논문에서는 EV용 In Wheel Motor와 이를 제어하기 위한 구동장치에 대한 제어시스템을 제안하고 이를 실험을 통해 검증하였다.

• Proceedings of the KIPE Conference
• /
• 2005.07a
• /
• pp.17-19
• /
• 2005

This paper considers the design and implementation of novel technique of speed estimation and control for IPMSM using learning mechanism-fuzzy neural network(LM-FNN) and artificial neural network (ANN) control. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new hybrid Intelligent control

• Proceedings of the KIEE Conference
• /
• 2005.04a
• /
• pp.207-209
• /
• 2005

Recently, the use of IPMSM is coming to be active, in many industrial applications. In sensorless drive of IPMSM, it is important to know the exact information of the initial rotor position, because the wrong estimation of the initial rotor position brings about the decrease of the starting torque, or a temporary reverse revolution, In addition, PMSM is necessary to use the accurate information of the inductance for the precise torque control owing to the reluctance torque. In this paper presents initial rotor position estimation method and, measure method of the each-axis inductance. And to minimize the speed estimations error, the estimated speeds are compensated by using an instantaneous reactive power in synchronously rotating reference frame.

• Proceedings of the KIPE Conference
• /
• 2015.07a
• /
• pp.205-206
• /
• 2015

본 논문에서는 단일 전류 센서를 가진 IPMSM 구동 시스템의 고주파 신호 주입 센서리스 제어를 제안한다. 단일 전류 센서 시스템에서 3상 전류를 재구축하기 위해 DC link 전류를 검출한다. DC link 전류를 이용하여 3상 전류를 재구축하는 경우의 문제점은 1개 또는 2개의 유효벡터가 DC link 전류를 검출하는데 필요한 최소 시간보다 짧게 인가될 때 발생한다. 센서리스 제어시 이러한 경우가 발생하면, 재구축된 전류의 왜곡에 의해 제어 성능이 저하된다. 본 논문은 전압 벡터가 작은 경우, 전류 예측을 통하여 신뢰할 만한 3상 전류를 재구축하여 전류의 왜곡을 줄임으로써 센서리스 제어 성능을 향상시켰다. 시뮬레이션을 통하여 제안한 기법의 타당성을 검증하였다.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.1007-1008
• /
• 2007

This paper is proposed an efficiency optimization control algorithm for IPMSM which minimizes the copper and iron losses. The design of the speed controller based on adaptive fuzzy learning control-fuzzy neural networks(AFLC-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the AFLC-FNN controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm

• Journal of Industrial Technology
• /
• v.27 no.A
• /
• pp.163-168
• /
• 2007

For an accurate computer simulation to motor drive systems, the target mechanical load system driven by a motor needs to be model its characteristics accurately. In general, a load system is modeled simply with system parameters such as approximated system inertia and friction. So, simulation results have some errors compared with experimental results for a real load system. RecurDyn is a mechanics simulation program for 3-dimension analysis to mechanical load systems. From this program, parameters such as a load torque, a system inertia and a viscous friction can be obtained accurately which are required to model a mechanical system. Also, this program operates together Matlab/Simulink which is used to simulate electrical motor drive systems. So, an accurate simulation for the whole system with a motor drive system and a mechanical load is possible. This paper introduces an application of RecurDyn program to an electric forklift drive system using IPMSM(Interior Permanent Magnet Synchronous Motor) and examines the feasibility of co-simulation it with Matlab/Simulink.