Title :
BFO control tuning of a PMSM high speed drive
Author :
Aymen, Flah ; Lassâad, Sbita
Author_Institution :
Nat. Sch. of Eng. of Gabes, Univ. of Gabes, Gabes, Tunisia
Abstract :
In this paper a new online adjustable adaptive field weakening, based on the Bacterial foraging optimization algorithms is presented. In the traction and electric vehicle applications, the high speed mode is important. Effectively the Field weakening technique is needed. However in the environment supported by the system, many parameters can influence on the global control technique, like temperature, dust or vibration. Well, to resolve these problems a new adaptive control technique, support this variations, is presented in this paper.
Keywords :
electric vehicles; machine control; permanent magnet motors; synchronous motor drives; traction; BFO control tuning; Bacterial foraging optimization algorithms; PMSM high speed drive; PMSM parameter; electric vehicle application; global control technique; online adjustable adaptive field weakening technique; permanent magnet synchronous motor; traction application; Mathematical model; Microorganisms; Optimization; Parameter estimation; Permanent magnet motors; Stators; Torque;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196431