Neural network based approach for the computation of harmonic power in a real-time microprocessor-based vector control for an induction motor drive

IEEE International Symposium on Industrial Electronics

Volumn 1, Issue , 2000, Pages 277-281

  Moreno Eguilaz, J M ^a   Peracaula, J ^a   Esquivel, A ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ELECTRIC DRIVES; HARMONIC ANALYSIS; MICROPROCESSOR CHIPS; NEURAL NETWORKS; OPTIMIZATION; REAL TIME SYSTEMS; VECTORS;

REAL TIME MICROPROCESSORS;

INDUCTION MOTORS;

EID: 0034431473     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Neural network for estimation of harmonic components in a power system
2. IEEE and international harmonic standards impact on power electronic equipment design
3. Real-time power measuring and monitoring for an efficient vector-controlled induction motor drive
4. Selective harmonic tracking algorithm for harmonic power evaluation in a field oriented control drive with flux reduction
5. Simple method of selective harmonic tracking (SHT) of signals in an integrated AC-DC power system
6. A Survey of North American Electric Utility Concerns Regarding Nonsinusoidal Waveforms