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퍼지 PI scaling factor의 분석적인 유도방법에 관한 연구
조정민(Jeong-Min Jho),전기영(Kee-Young Jun),이승환(Seung-Hwan Lee),오봉환(Bong-Hwan Oh),이훈구(Hoon-Goo Lee),한경희(Kyung-Hee Han) 전력전자학회 2000 전력전자학술대회 논문집 Vol.2000 No.11
Fuzzy logic control(FLC) has been studied extensively and has been applied in various applications. The most popular control strategy takes the Fuzzy Proportional-Integral(FPI) form. While systematic methods have been developed to derive the fuzzy rules and membership functions, the choice of the scaling factors remains an open problem. In this paper, an analytical FPI scaling factor determining method is derived, based on the functional equivalence of the PI and FPI controllers. Simulations have been carried out with a brushiess DC motor drive system as test-bed, the obtained results have verified that the derived method is applicable to both the initial choice and further tuning of the FPI scaling factors.
조정민(Jeong-Min Jho),함년근(Nyun-Kun Hahm),이상집(Sang-Chip Lee),이승환(Seung-Hwan Lee),이훈구(Hoon-Goo Lee),김용주(Young-Ju Kim),한경희(Kyung-Hee Han) 전력전자학회 1998 전력전자학술대회 논문집 Vol.- No.-
The conventional PI controller are fragile in parameter variation and load-variation. Therefore, in this paper, a speed control algorithm based on the Fuzzy PI controller is proposed for the high performance speed control of a voltage-source inverter to drive 3-phase induction motors. The computer simulation results show that the proposed controller are more excellent control characteristics than conventional PI controller in transient-state and steady-state response.<br/> <br/>
상전도 흡입식 자기부상열차에서 공극처리방식에 대한 연구
성호경(Sung Ho Kyung),조정민(Jho Jeong Min),이종무(Lee Jong Moo),김동성(Kim Dong Sung) 한국철도학회 2006 한국철도학회 세미나자료 Vol.- No.-
Maglev using EMS becomes unstable by unexpected big air-gap disturbance. The main causes of the unexpected air-gap disturbance are step-wise rail joint and large distance between rail splices. For the stable operation of the Maglev, the conventional system uses the threshold method, which selects one gap sensor among two gap sensors installed on the magnet to read the gap between magnet and guide rail. But the threshold method with a wide bandwidth makes the discontinuous air-gap signal at the rail joints because of the offset in air gap sensors and/or the step-wise rail joins. Further more, in the case of the one with a narrow bend-width, it makes Maglev system unstable because of frequent alternation. In this paper, a new method using fuzzy rule to reduce air-gap disturbances proposed to improve the stability of Maglev system. It treats the air-gap signal from dual gap sensors effectively to make continuous signal without air gap disturbance. Simulation and experiment results proved that the proposed scheme was effective to reduce air-gap disturbance from dual gap sensors in rail joints.
성호경(Sung Ho Kyung),조정민(Jho Jeong Min),이종무(Lee Jong Moo),남용윤(Nam Yong Youn),신병천(Shin Byung Cheon) 한국철도학회 2006 한국철도학회 세미나자료 Vol.- No.-
The EMS system requires a very delicate suspension control to maintain constant air-gap between the magnet and the guide-way rail. To maintain a constant air-gap with attraction force, the EMS system dynamics is changed according to uncertainties and disturbances, and it also requires reliability against component failures. Since uncertainties and component failures are frequently caused in EMS system, it is very important to develop the robust and reliable control system. In this paper, we consider the design problem for robust and reliable controller in the presence of uncertainties and component failures.