Improved vector control of induction motor drives using genetic algorithms-based machine and control parameters estimation

Author

Trentin, A. ; Zanchetta, P. ; Wheeler, P. ; Clare, J.

Author_Institution

Univ. of Nottingham, Nottingham

fYear

2007

fDate

2-5 Sept. 2007

Firstpage

1

Lastpage

8

Abstract

This paper presents an improved rotor flux-based vector control for a high power induction machine. An off-line Genetic Algorithms routine is used to estimate the electrical and mechanical parameters of the machine using only speed transient measurements. This routine is used for a range of operating conditions for the control algorithm and design optimisation. The effectiveness of this design method is demonstrated with a wide range of simulations and experimental results at power levels up to 200 kW.

Keywords

genetic algorithms; induction motor drives; machine vector control; parameter estimation; rotors; genetic algorithms; induction motor drives; machine vector control; parameters estimation; rotor flux; speed transient measurements; Algorithm design and analysis; Electric variables measurement; Genetic algorithms; Induction machines; Induction motor drives; Machine vector control; Mechanical variables measurement; Parameter estimation; Rotors; Velocity measurement; Genetic Algorithms; Induction Motors; Parameters Estimation; Rotor Flux Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Applications, 2007 European Conference on

Conference_Location

Aalborg

Print_ISBN

978-92-75815-10-8

Electronic_ISBN

978-92-75815-10-8

Type

conf

DOI

10.1109/EPE.2007.4417732

Filename

4417732