Title :
The hybrid RFNN control for a PMSM drive system using rotor flux estimator
Author :
Lin, Chih-Hong ; Lin, Chih-Peng
Author_Institution :
Dept. of Electr. Eng., Nat. United Univ., Miao Li, 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 builted though experimental tests and parameters 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 :
electric current control; electric potential; electric vehicles; fuzzy control; machine control; motorcycles; neurocontrollers; permanent magnet motors; rotors; synchronous motor drives; variable structure systems; HRFNN controller; PMSM drive system; back electromagnetic force; command current control; constant disturbance torque; electric motorcycle control; experimental tests; hybrid RFNN control; hybrid recurrent fuzzy neural network control; parameters measurements; permanent magnet synchronous motor drive system; rotor flux estimator; variable structure control; Control systems; Electric variables control; Electric variables measurement; Electromagnetic measurements; Fuzzy control; Fuzzy neural networks; Motorcycles; Permanent magnet motors; Rotors; System testing; permanent magnet synchronous motor; recurrent fuzzy neural network; variable structure control;
Conference_Titel :
Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-4166-2
Electronic_ISBN :
978-1-4244-4167-9
DOI :
10.1109/PEDS.2009.5385728