Authors: Chih-Peng Lin; Chih-Hong Lin
Addresses: Department of Engineering, Su-Mo Enterprise Co. Ltd, Taichung 430, Taiwan ' Department of Electrical Engineering, National United University, Miao Li 360, Taiwan.
Abstract: The hybrid recurrent fuzzy neural network (HRFNN) control permanent magnet synchronous motor (PMSM) drive system using rotor flux estimator is developed to control electric motorcycle in this paper. First, the dynamic models of a PMSM drive system and electric motorcycle are built through experimental tests and parameter measurements. Then, a HRFNN control system using rotor flux estimator is developed to control PMSM drive system in order to drive electric motorcycle. The rotor flux estimator consists of the estimation algorithm of rotor flux position and speed based on the back electromagnetic force (EMF). Moreover, the HRFNN controller consists of the supervisor control, RFNN and variable structure control (VSC) is applied to PMSM drive system using rotor flux estimator. The parameters of RFNN are trained to control command current in order to achieve different output torque of various speeds. The electric motorcycle is operated to provide constant disturbance torque. Finally, the effectiveness of the proposed control schemes is demonstrated by experimental results.
Keywords: permanent magnet synchronous motors; PMSM; recurrent fuzzy neural networks; RFNN; variable structure control; VSC; rotor flux estimators; electric motorcycles; dynamic modelling.
International Journal of Power Electronics, 2012 Vol.4 No.1, pp.33 - 48
Accepted: 12 Jun 2011
Published online: 10 Dec 2011 *