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., Miao Li, Taiwan

fYear

2010

fDate

15-17 June 2010

Firstpage

2175

Lastpage

2180

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 vector control; motorcycles; neurocontrollers; permanent magnet motors; recurrent neural nets; servomechanisms; synchronous motor drives; HRFNN speed control system; PMSM drive system; electric scooter; field-oriented mechanism; hybrid recurrent fuzzy neural network control; permanent magnet synchronous motor; supervisor control; Control systems; Fuzzy control; Fuzzy neural networks; Motorcycles; Permanent magnet motors; Reluctance motors; Rotors; Sliding mode control; Synchronous motors; Torque; permanent magnet synchronous motor; recurrent fuzzy neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on

Conference_Location

Taichung

Print_ISBN

978-1-4244-5045-9

Electronic_ISBN

978-1-4244-5046-6

Type

conf

DOI

10.1109/ICIEA.2010.5515337

Filename

5515337