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논문 기본 정보

자료유형
학술저널
저자정보
Mohammad Hosein Holakooie (University of Tabriz) Asghar Taheri (University of Zanjan) Mohammad Bagher Bannae Sharifian (University of Tabriz)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.15 No.5
발행연도
2015.9
수록면
1,274 - 1,285 (12page)

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초록· 키워드

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This paper deals with model reference adaptive system (MRAS) speed estimators based on a secondary flux for linear induction motors (LIMs). The operation of these estimators significantly depends on an adaptation mechanism. Fixed-gain PI controller is the most common adaptation mechanism that may fail to estimate the speed correctly in different conditions, such as variation in machine parameters and noisy environment. Two adaptation mechanisms are proposed to improve LIM drive system performance, particularly at very low speed. The first adaptation mechanism is based on fuzzy theory, and the second is obtained from an LIM mechanical model. Compared with a conventional PI controller, the proposed adaptation mechanisms have low sensitivity to both variations of machine parameters and noise. The optimum parameters of adaptation mechanisms are tuned using an offline method through chaotic optimization algorithm (COA) because no design criterion is given to provide these values. The efficiency of MRAS speed estimator is validated by both numerical simulation and real-time hardware-in-the-loop (HIL) implementations. Results indicate that the proposed adaptation mechanisms improve performance of MRAS speed estimator.

목차

Abstract
I. INTRODUCTION
II. DYNAMIC MODEL OF LIM
III. FLUX ESTIMATOR BASED ON MACHINE MODEL
IV. MRAS BASED SPEED ESTIMATOR
V. ADAPTATION MECHANISM BASED ON FUZZY CONTROLLER
VI. ADAPTATION MECHANISM BASED ON MECHANICAL MODEL
VII. CHAOTIC OPTIMIZATION ALGORITHM
VIII. SIMULATION RESULTS
IX. REAL-TIME HARDWARE-IN-THE-LOOP SIMULATION
X. CONCLUSION
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