Least squares and genetic algorithms for parameter identification of induction motors

Control Engineering Practice

Volumn 9, Issue 6, 2001, Pages 647-657

  Alonge, F ^a   D'Ippolito, F ^a   Raimondi, F M ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

Genetic algorithms; Induction motors; Least squares; Parameter identification

Indexed keywords

GENETIC ALGORITHMS; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION;

ANTICAUSAL FILTERS;

INDUCTION MOTORS;

INDUCTION MOTOR;

EID: 0035366201     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(01)00024-7     Document Type: Article

References (14)

1. Parameter identification of a mathematical model of induction motors via least square techniques
2. Identification of the parameters of an induction motor model via genetic algorithms
3. Parameter identification of an induction motor: Least square vs. genetic algorithms
4. Parameter identification for induction motor simulation
5. MRAS identification of the induction motor parameters in PWM inverter drives at standstill
6. Induction machine parameters identification: Comparison of different algorithms
7. State-space model identification of deterministic nonlinear systems: Nonlinear mapping technology and application of the Lyapunov theory
8. Genetic algorithms: Concepts and applications
9. Estimation of induction machine parameters from standstill time-domain data
10. Parameters identification of induction motor drives
11. Identification of induction motor parameters
12. Real-time estimation of the parameters and fluxes of induction motors
13. The total least squares problem
14. Derivation of induction models from standstill frequency responses test