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RISS 인기검색어
- 검색키워드
- 저자 : Zeraoulia M. (검색결과 2 건)
- 무료
- 기관 내 무료
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M. E. H. BENBOUZID,D. DIALLO,M. ZERAOULIA,F. ZIDANI 한국자동차공학회 2006 International journal of automotive technology Vol.7 No.6
This paper describes an active fault-tolerant control system for an induction motor drive that propels an Electrical Vehicle (EV) or a Hybrid one (HEV). The proposed system adaptively reorganizes itself in the event of sensor loss or sensor recovery to sustain the best control performance given the complement of remaining sensors. Moreover, the developed system takes into account the controller transition smoothness in terms of speed and torque transients. In this paper which is the sequel of (Diallo et al., 2004), we propose to introduce more advanced and intelligent control techniques to improve the global performance of the fault-tolerant drive for automotive applications (e.g. EVs or HEVs). In fact, two control techniques are chosen to illustrate the consistency of the proposed approach: sliding mode for encoder-based control; and fuzzy logics for sensorless control. Moreover, the system control reorganization is now managed by a fuzzy decision system to improve the transitions smoothness. Simulations tests, in terms of speed and torque responses, have been carried out on a 4㎾ induction motor drive to evaluate the consistency and the performance of the proposed fault-tolerant control approach.
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Benbouzid, M.E.H.,Diallo, D.,Zeraoulia, M.,Zidani, F. The Korean Society of Automotive Engineers 2006 International journal of automotive technology Vol.7 No.6
This paper describes an active fault-tolerant control system for an induction motor drive that propels an Electrical Vehicle(EV) or a Hybrid one(HEV). The proposed system adaptively reorganizes itself in the event of sensor loss or sensor recovery to sustain the best control performance given the complement of remaining sensors. Moreover, the developed system takes into account the controller transition smoothness in terms of speed and torque transients. In this paper which is the sequel of (Diallo et al., 2004), we propose to introduce more advanced and intelligent control techniques to improve the global performance of the fault-tolerant drive for automotive applications(e.g. EVs or HEVs). In fact, two control techniques are chosen to illustrate the consistency of the proposed approach: sliding mode for encoder-based control; and fuzzy logics for sensorless control. Moreover, the system control reorganization is now managed by a fuzzy decision system to improve the transitions smoothness. Simulations tests, in terms of speed and torque responses, have been carried out on a 4-kW induction motor drive to evaluate the consistency and the performance of the proposed fault-tolerant control approach.
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