Genetic algorithm with dynamic selection based on quadratic ranking applied to induction machine parameters estimation

Electric Power Components and Systems

Volumn 40, Issue 10, 2012, Pages 1089-1104

  Boudissa, E ^a   Bounekhla, M ^a  

^a UNIVERSITY OF BLIDA   (Algeria)

Author keywords

dynamic selection; genetic algorithm; identification; induction machine; minimization; quadratic ranking; selection pressure

Indexed keywords

BOLTZMANN; COMPUTING TIME; DYNAMIC SELECTION; ESTIMATED PARAMETER; IDENTIFICATION METHOD; INDUCTION MACHINE PARAMETERS; INDUCTION MACHINES; LINEAR RANKING; MEASURED CURRENTS; MECHANICAL PARAMETERS; OUTPUT ERRORS; PHASE VOLTAGE; PREMATURE CONVERGENCE; QUADRATIC RANKING; REAL-CODED; REAL-CODED GENETIC ALGORITHM; SELECTION PRESSURES; STARTING CURRENT; TWO-MOTOR;

ASYNCHRONOUS MACHINERY; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); OPTIMIZATION; POWER QUALITY;

PARAMETER ESTIMATION;

EID: 84863613854     PISSN: 15325008     EISSN: 15325016     Source Type: Journal    
DOI: 10.1080/15325008.2012.682246     Document Type: Article

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