A novel digital control for DC/DC converters to improve steady-state performances

Boscaino, V.; Blasi, G.M. Di; Livreri, Patrizia; Marino, F.; Minieri, M.

doi:10.1109/intlec.2006.251653

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Modeling each subsystem is key to simulate the entire system as closely as possible to its effective behavior. Integrating each subsystem model in a unique simulation environment is a fundamental step [17][18][19][20][21]. Complex, non-linear systems can be modeled by analytical or empirical approaches.…”

Section: Introductionmentioning

confidence: 99%

Simplified hybrid PD model in voids: Pattern validation

Silvestre

Miceli

Romano

2013

4th International Conference on Power Engineering, Energy and Electrical Drives

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Section: Introductionmentioning

confidence: 99%

Simplified hybrid PD model in voids: Pattern validation

Silvestre

Miceli

Romano

2013

4th International Conference on Power Engineering, Energy and Electrical Drives

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“…A tradeoff between pressing and conflicting requirements on power supply design is brought about. New challenges arise thus pressing both academic and industrial research towards innovative solutions [3][4][5][6]. Several applications are heavily affected by efficiency issues.…”

Section: Introductionmentioning

confidence: 99%

Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives

Gritli

Tommaso

Miceli

et al. 2013

4th International Conference on Power Engineering, Energy and Electrical Drives

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The paper investigates the diagnosis of rotor broken bars in field oriented controlled (FOC) double cage induction motor drives, using current and vibration signature analysis techniques. The Impact of the closed loop control system cannot be neglected when the detection of asymmetries in the machine are based on the signature analysis of electrical variables. The proposed diagnosis approach is based on optimized use of wavelet analysis by a pre-processing of phase current or axial/radial vibration signals. Thus, the time evolution of the tracked rotor fault components can be effectively analyzed. This paper shows also the relevance of the fault components computed from axial vibration signal in comparison to those coming from phase current and radial vibration signals. Cyclic fault quantification, issued from the wavelet analysis, has been introduced for accurate rotor fault detection. Experimental results show the validity of the proposed technique, leading to an effective diagnosis procedure for rotor broken bar in double cage induction motor

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