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      전동기 시뮬레이터에서 모델링 된 레졸버의 구현 = Implementation of Modeled Resolver in Motor Simulator

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      https://www.riss.kr/link?id=A108723474

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      다국어 초록 (Multilingual Abstract)

      For modeling of motor, the implementation of the input and output characteristics of electric motor is important. The position information of the motor is essential for feedback control. This paper proposes a amplitude modulation resolver modeling among the position sensor. The amplitude modulation resolver is modeled using MCU, mDAC and multiplier. The offset error between MCU and the mDAC is removed using differential signal. The validity of the proposed method are verified by experiments.
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      For modeling of motor, the implementation of the input and output characteristics of electric motor is important. The position information of the motor is essential for feedback control. This paper proposes a amplitude modulation resolver modeling amo...

      For modeling of motor, the implementation of the input and output characteristics of electric motor is important. The position information of the motor is essential for feedback control. This paper proposes a amplitude modulation resolver modeling among the position sensor. The amplitude modulation resolver is modeled using MCU, mDAC and multiplier. The offset error between MCU and the mDAC is removed using differential signal. The validity of the proposed method are verified by experiments.

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      참고문헌 (Reference)

      1 Moog Component Group, "Synchro and resolver engineering handbook" 2004

      2 D. C. Hanselman, "Resolver signal requirements for high accuracy resolver-to-digital conversion" 37 (37): 556-561, 1990

      3 M. Pechinger, "Hardware in the loop test using infrastructure based emergency trajectories for connected automated driving" (4) : 357-362, 2020

      4 Konstantin Etzold, "Function Development with an Electric-Machine-in-the-Loop setup: A case study" 5 (5): 1419-1429, 2019

      5 A. Bouscayrol, "Different types of Hardware-In-Loop simulation for electric drives" 2146-2151, 2008

      6 Pongpachara Limpisathian, "Design of Low-cost HighAccuracy Microcontroller-based Resolver" University of Akron 2013

      7 H. O. Portner, "Climate change 2022: Impacts, adaptation and vulnerability" 2022

      1 Moog Component Group, "Synchro and resolver engineering handbook" 2004

      2 D. C. Hanselman, "Resolver signal requirements for high accuracy resolver-to-digital conversion" 37 (37): 556-561, 1990

      3 M. Pechinger, "Hardware in the loop test using infrastructure based emergency trajectories for connected automated driving" (4) : 357-362, 2020

      4 Konstantin Etzold, "Function Development with an Electric-Machine-in-the-Loop setup: A case study" 5 (5): 1419-1429, 2019

      5 A. Bouscayrol, "Different types of Hardware-In-Loop simulation for electric drives" 2146-2151, 2008

      6 Pongpachara Limpisathian, "Design of Low-cost HighAccuracy Microcontroller-based Resolver" University of Akron 2013

      7 H. O. Portner, "Climate change 2022: Impacts, adaptation and vulnerability" 2022

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