Hybrid Recurrent Fuzzy Neural Network Control for Permanent Magnet Synchronous Motor Applied in Electric Scooter

Author

Lin, Chih-Hong ; Chiang, Po-Hwa ; Tseng, Chi-Shin ; Liu, Yi-Ling ; Lee, Mei-Yu

Author_Institution

Dept. of Electr. Eng., Nat. United Univ., Miaoli, Taiwan

fYear

2010

fDate

21-24 June 2010

Firstpage

1371

Lastpage

1376

Abstract

The purpose of this paper is to investigate and implement a novel approach to learning control for permanent magnet synchronous motor (PMSM) drive system using a hybrid recurrent fuzzy neural network (HRFNN) control. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, a HRFNN speed control system that combined supervisor control, RFNN and compensated control is developed to control PMSM drive system. Finally, the effectiveness of the proposed control scheme is verified by the experimental results.

Keywords

electric vehicles; fuzzy neural nets; machine control; neurocontrollers; permanent magnet motors; recurrent neural nets; synchronous motor drives; PMSM servo drive; compensated control; dynamic equation; electric scooter; field oriented mechanism; hybrid recurrent fuzzy neural network control; permanent magnet synchronous motor drive system; supervisor control; Control systems; Equations; Fuzzy control; Fuzzy neural networks; Motorcycles; Permanent magnet motors; Reluctance motors; Rotors; Synchronous motors; Torque; permanent magnet synchronous motor; recurrent fuzzy neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Conference (IPEC), 2010 International

Conference_Location

Sapporo

Print_ISBN

978-1-4244-5394-8

Type

conf

DOI

10.1109/IPEC.2010.5544586

Filename

5544586