• Title/Summary/Keyword: efficiency-optimization control

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Vector Control of Induction Motors using Optimal Efficiency Control

  • Kim, Sang-uk;Chi, Jin-ho;Kim, Young-seok
    • Journal of Power Electronics
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    • v.2 no.1
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    • pp.67-75
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    • 2002
  • This paper presents the control algorithm for maximum efficiency drives of an induction motor system with the high dynamic performance. This system uses a simple model of the induction motor that includes equations of the iron losses. The model, which only requires the parameters of the induction motor, is referred to a field-oriented frame. The minimum point of the input power can be obtained at the steady state condition. The proposed optimal efficiency control algorithm calculates the reference torque and flux currents for the vector control of the induction motors. A 32 bit floating point TMS320C32 DSP chip implements the drive system with the efficiency optimization controller. The results show the effectiveness of the control strategy Proposed for the induction motor drive.

Efficiency Optimization Control of SynRM with ALM -FNN Controller (ALM-FNN 제어기에 의한 SynRM의 효율 최적화 제어)

  • Choi, Jung-Sik;Ko, Jae-Sub;Kim, Kil-Bong;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2006.10d
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    • pp.47-49
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    • 2006
  • This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor which minimizes the copper and iron losses. The design of the speed controller based on adaptive learning mechanism-fuzzy neural networks(ALM-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the hybrid artificial intelligent controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.

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Efficiency Optimization Controller Development of IPMSM Drive by NN (NN에 의한 IPMSM 드라이브의 효율최적화 제어기 개발)

  • Choi, Jung-Sik;Park, Ki-Tae;Ko, Jae-Sub;Park, Byung-Sang;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2007.04c
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    • pp.94-96
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    • 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.

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Efficiency optimization control of SynRM using ALM-FNN controller (ALM-FNN 제어기를 이용한 SynRM의 효율 최적화 제어)

  • Park, Byung-Sang;Park, Ki-Tae;Ko, Jae-Sub;Choi, Jung-Sik;Chung, Dong-Hwa
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2007.05a
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    • pp.306-310
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    • 2007
  • This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor which minimizes the copper and iron losses. The design of the speed controller based on adaptive learning mechanism-fuzzy neural networks(ALM-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the hybrid artificial intelligent controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm

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Development of Artificial Intelligent Controller for Efficiency Optimization of IPMSM Drive (IPMSM 드라이브의 효율최적화를 위한 인공지능 제어기 개발)

  • Choi, Jung-Sik;Ko, Jae-Sub;Park, Byung-Sang;Park, Ki-Tae;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1007-1008
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    • 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

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Efficiency Optimization Control of SynRM Drive using Adative FNN Controller for (적응 FNN 제어기를 이용한 SynRM 드라이브의 효율 최적화 제어)

  • Choi, Jung-Sik;Lee, Jung-Chul;Lee, Hong-Gyun;Nam, Su-Myeong;Ko, Jae-Sub;Kim, Jong-Kwan;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1459-1461
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    • 2005
  • This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor which minimizes the copper and iron losses. The design of the speed controller based on fuzzy-neural networks(FNN) controller that is implemented using fuzzy control and neural networks. The control performance of the adaptive FNN controller is evaluated by analysis for various operating conditions. Simulation results are presented to show the validity of the proposed algorithm

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Structural Design of a Front Lower Control Arm Considering Durability (내구성을 고려한 하부 컨트롤 암의 구조설계)

  • Park, Han-Seok;Kim, Jong-Kyu;Seo, Sun-Min;Lee, Kwon-Hee;Park, Young-Chul
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.8 no.4
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    • pp.69-75
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    • 2009
  • Recently developed automotive components are getting lighter providing a higher fuel efficiency and performance. Following the current trend, this study proposes a structural optimization method for the lower control arm installed at the front side of a Vehicle. Lightweight design of lower control arm can be achieved through design and material technology. In this research, the shape of lower control arm was determined by applying the optimization technology and aluminum was selected as a steel-substitute material. Strength performance is the most important design requirement in the structural design of a control arm. This study considers the static strength in the optimization process. For the optimum design, the durability analysis is performed to predict its fatigue life. In this study, the kriging interpolation method is adopted to obtain the minimum weight satisfying the strength constraint. Optimum designs are obtained by the in-house program, EXCEL-Kriging. Also, based on the optimum model obtained for the static strength, the optimization of Index of Fatigue Durability is carried out to get th optimum fatigue performance.

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Adaptive-FNIS Control for Efficiency Optimization of IPMSM Drive (IPMSM 드라이브의 효율 최적화를 위한 Adaptive-FNIS 제어)

  • Jung, Byung-Jin;Ko, Jae-Sub;Choi, Jung-Sik;Jung, Chul-Ho;Kim, Do-Yeon;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2008.04c
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    • pp.122-124
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    • 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.

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Efficiency Optimization Control of IPMSM using FNN-PI (FNN-PI를 이용한 IPMSM의 효율최적화 제어)

  • Jung, Byung-Jin;Ko, Jae-Sub;Choi, Jung-Sik;Jung, Chul-Ho;Kim, Do-Yeon;Jun, Young-Sun;Chung, Dong-Hwa
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2008.05a
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    • pp.395-398
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    • 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 FNN(Fuzzy Neural-Network)-Pl controller. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the error back propagation algorithm(EBPA). This paper considers the parameter variation about the motor operation. The operating characteristics controlled by efficiency optimization control are examined in detail.

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The Efficiency Optimization Control of an Indirect Vector-Controlled Induction Motor Drive (간접벡터제어 유도전동기의 효율 최적화 운전)

  • Choi, Jin-Ho;Shin, Jae-Hae;Kim, Young-Seok
    • Proceedings of the KIEE Conference
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    • 2000.11b
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    • pp.352-354
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    • 2000
  • The induction motor is a high-efficiency machine when working close to its rated operation point. This paper uses a simple induction motor model that includes iron losses. The model, which only requires the knowledge of conventional induction motor parameters, is referred to a field-oriented frame. At steady-state light-load condition the minimum point of the input power can be found with the condition that it is possible to obtain the same torque with different combinations of flux and current values. Using the minimum point. the drive system with the proposed efficiency optimization controller can be controlled easily. Simulation and experimental results show the effectiveness of the control strategy proposed for an induction motor drive.

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