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백정우(Jeong-Woo Baek),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),강성준(Sung-Jun Kang),장미금(Mi-Geum Jang),문주희(Ju-Hui Mun),정동화(Dong-Hwa Chung) 전력전자학회 2010 전력전자학술대회 논문집 Vol.2010 No.7
This paper proposes maximum torque control of IPMSM drive using optimal current. This control method is applicable over the entire speed range which considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current id for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using multi-MFC and ANN controller. Also, this paper proposes maximum control of IPMSM drive using approximation method. This method is decreased the burden of digital signal process(DSP) in calculation of optimal current. This paper proposes the analysis results to verify the effectiveness of the MFC and ANN controller. Also it verifies the validity of maximum torque control of IPMSM drive with optimal current.
다중 MFC에 의한 IPMSM 드라이브의 MTPA 제어
백정우(Jeong-Woo Baek),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),강성준(Sung-Jun Kang),장미금(Mi-Geum Jang),문주희(Ju-Hui Mun),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2010 한국조명·전기설비학회 학술대회논문집 Vol.2010 No.5월
This paper proposes maximum torque control of IPMSM drive using multi model reference adaptive fuzzy controller(MFC) and artificial neural network(ANN). This control method is applicable over the entire speed range which considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current i<SUB>d</SUB> for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using multi-MFC and ANN controller. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper proposes speed and current control of IPMSM using MFC 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 MFC and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper proposes the analysis results to verify the effectiveness of the MFC and ANN controller.
백정우(Jeong-Woo Baek),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),강성준(Sung-Jun Kang),장미금(Mi-Geum Jang),문주희(Ju-Hui Mun),정동화(Dong-Hwa Chung) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.4
This paper proposes maximum torque control of IPMSM drive using multi model reference adaptive fuzzy controller(MFC) and artificial neural network(ANN). This control method is applicable over the entire speed range which considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current id for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using multi-MFC and ANN controller. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper proposes maximum control of IPMSM drive using approximation method. This method is decreased the burden of digital signal process(DSP) in calculation of optimal current. This paper proposes the analysis results to verify the effectiveness of the MFC and ANN controller. Also it verifies the validity of maximum torque control of IPMSM drive with approximation method.
백정우(Jeong-Woo Baek),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),강성준(Sung-Jun Kang),장미금(Mi-Geum Jang),김순영(Sun-Young Kim),정동화(Dong-Hwa Chung) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.10
This paper proposes photovotaic/thermal (PV/T) hybrid module to get the Electrical and Thermal performance of building integrated photovoltaic(BIPV) system. BIPV system is decreased the system efficiency because output of PV is decreased by the thermal rising on generating. In order to improve the efficiency of BIPV module, water cooling system is applied and generated thermal is used the warm water system. Water cooling system uses the HBPI thermal control and flow control algorithm. Electrical and thermal performance of proposed PV/T module is confirmed through the actual experiment and proved the valid of this paper.
백정우(Jung-woo Baek),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),김도연(Do-Yeon Kim),강성준(Sung-Joon Kang),정동화(Dong-Hwa Chung) 전력전자학회 2009 전력전자학술대회 논문집 Vol.2009 No.1
The maximum output torque developed by the machine is dependent on the allowable current rating and maximum voltage that the inverter can supply to the machine. Therefore, to use the inverter capacity fully, it is desirable to use the control scheme considering the voltage and current limit condition, which can yield the maximum torque per ampere over the entire speed range. The paper is proposed maximum torque control of induction motor drive using hybrid artificial intelligent(HAI). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d, q axis current ids, iqs for maximum torque operation is derived. The proposed control algorithm is applied to induction motor drive system controlled HAI controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the adaptive learning neuro fuzzy controller and ANN controller.
FLC와 NNC를 이용한 IPMSM 드라이브의 고성능 제어기 설계
백정우(Jung-Woo Baek),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),강성준(Sung Jun Kang),장미금(Mi Geum Jang),문주희(Ju-Hui Mun),정철호(Chul-Ho Jung),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2010 한국조명·전기설비학회 학술대회논문집 Vol.2010 No.9월
The precise speed control of interior permanent magnet synchronous motor(IPMSM) drive becomes a complex issue due to nonlinear coupling among its winding currents and the rotor speed as well as the nonlinear electromagnetic developed torque. Therefore, there needs control method that can be demonstrated high performance about verity operating condition. This paper is proposed design of high performance controller of IPMSM drive using FLC and NNC. Also, This paper is proposed of designing fuzzy neural network controller(FNNC) which adopts the fuzzy logic to the artificial neural network(ANN). The performance of proposed controller was demonstrated through response results. The results confirm that the proposed controller is high performance and robust under the variation of load torque and parameters.