A New Method for Induction Motors Parameter Estimation Using Genetic Algorithms and Transient Speed measurements

Author

Trentin, Andrew ; Zanchetta, Pericle ; Wheeler, Patrick ; Clare, Jon ; Wood, Robert ; Katsis, Dimos

Author_Institution

Sch. of Electr. & Electron. Eng., Nottingham Univ.

Volume

5

fYear

2006

fDate

8-12 Oct. 2006

Firstpage

2435

Lastpage

2440

Abstract

This paper proposes a new heuristic approach based on genetic algorithms (GA) to estimate mechanical and electrical parameters of an induction motor (IM) in all operative conditions using only speed transient measurements. The GA routine is used off-line to minimize the error between experimental speed transient responses measured on the machine under test and those obtained, under the same conditions, form a simulation in which the GA optimizes the parameters. The IM is controlled by means of a standard vector control strategy using a set of parameters initially estimated from the nominal values of the machine

Keywords

digital control; genetic algorithms; induction motors; machine testing; parameter estimation; digital control; electrical parameter estimation; genetic algorithms; heuristic approach; induction motors; mechanical parameter estimation; transient speed measurements; Electric variables measurement; Genetic algorithms; Induction motor drives; Induction motors; Machine vector control; Mechanical variables measurement; Parameter estimation; Testing; Variable speed drives; Velocity measurement; Digital Control; Genetic Algorithm; Induction Motor Drives; Parameter Estimetion;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2006. 41st IAS Annual Meeting. Conference Record of the 2006 IEEE

Conference_Location

Tampa, FL

ISSN

0197-2618

Print_ISBN

1-4244-0364-2

Electronic_ISBN

0197-2618

Type

conf

DOI

10.1109/IAS.2006.256881

Filename

4025570