위치 오차 최소화를 위한 가변 릴럭턴스 레졸버 최적 설계 (Optimal Design of a Variable Reluctance Resolver to Minimize Position Error)

서지정보

· 발행기관 : 대한전기학회
· 수록지 정보 : 전기학회논문지 / 73권 / 1호 / 44 ~ 49페이지
· 저자명 : 강정문, 최길수

초록

The precision of position estimation in VR resolvers significantly relies on the harmonic components present in the induced voltage across the secondary winding. The degraded accuracy can be compensated by carefully designing the stator windings and core geometry. This paper presents an optimized design process aimed at minimizing the position error of VR resolvers. The alterations in the resolver output signal's position information, resulting from the phase shift of the stator windings, third harmonic injection-based rotor geometry modifications, and changes to the stator core shape, are thoroughly analyzed using finite element analysis (FEA). Subsequently, a genetic algorithm-based optimization technique is applied to construct an optimal design process that effectively minimizes the position error in VR resolvers. Case study results demonstrate an approximately 80% enhancement in position estimation accuracy for the optimal model compared to the initial model.

영어초록

The precision of position estimation in VR resolvers significantly relies on the harmonic components present in the induced voltage across the secondary winding. The degraded accuracy can be compensated by carefully designing the stator windings and core geometry. This paper presents an optimized design process aimed at minimizing the position error of VR resolvers. The alterations in the resolver output signal's position information, resulting from the phase shift of the stator windings, third harmonic injection-based rotor geometry modifications, and changes to the stator core shape, are thoroughly analyzed using finite element analysis (FEA). Subsequently, a genetic algorithm-based optimization technique is applied to construct an optimal design process that effectively minimizes the position error in VR resolvers. Case study results demonstrate an approximately 80% enhancement in position estimation accuracy for the optimal model compared to the initial model.

참고자료

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