Sensorless position control of six-phase induction machine using fuzzy-PI system

Author

Moghadasian, M. ; Kiani, R. ; Betin, F. ; Sivert, A. ; Lanfranchi, V. ; Yazidi, A. ; Capolino, G.A.

Author_Institution

Lab. of Innovative Technol., Univ. of Picardie Jules Verne, Amiens, France

fYear

2011

fDate

27-30 June 2011

Firstpage

739

Lastpage

744

Abstract

This paper presents a new approach to the sensorless position control of six-phase induction machine (6PIM). A fuzzy-PI (FPI) system has been employed to estimate the rotor position and avoid using mechanical sensor. Also, high-accuracy positioning of a 6PIM rotor can be obtained using such FPI system in model control loops. The input-output scale factors of all FPI systems are tuned using genetic algorithms to achieve better results. The proposed scheme is validated through experimental results, and it is demonstrated that an FPI configuration is attainable to implement rotor position estimation and control in 6PIM drives.

Keywords

PI control; asynchronous machines; fuzzy control; genetic algorithms; position control; rotors; sensorless machine control; 6PIM drives; 6PIM rotor; FPI configuration; fuzzy-PI system; genetic algorithms; high-accuracy positioning; input-output scale factors; mechanical sensor; model control loops; rotor position estimation; sensorless position control; six-phase induction machine; Biological cells; Genetic algorithms; Inverters; Mathematical model; Position control; Rotors; Stators; Fuzzy PI system; Genetic Algorithms; Multiphase Induction Machine; Position Control; Sensorless Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics (ISIE), 2011 IEEE International Symposium on

Conference_Location

Gdansk

ISSN

Pending

Print_ISBN

978-1-4244-9310-4

Electronic_ISBN

Pending

Type

conf

DOI

10.1109/ISIE.2011.5984249

Filename

5984249