Fuzzy neural network control for a permanent magnet synchronous motor drive system

Author

Lin, Chih-Hong ; Lin, Chih-Peng

Author_Institution

Dept. of Electr. Eng., Nat. United Univ., Miao Li

fYear

2009

fDate

25-27 May 2009

Firstpage

2718

Lastpage

2723

Abstract

The purposes of this study are developed a servo drive system with fuzzy neural network (FNN) for a permanent magnet synchronous motor (PMSM) drive system based on digital signal processor (DSP). First, a field-oriented PMSM drive system which consists of a hysteresis-band current-controlled PWM VSI, a coordinate translation and sin/cos lookup table generation are implemented using DSP control system. Next, the FNN controller is introduced to control the speed of the PMSM via implementation of DSP control system. Finally, the effectiveness of the proposed control schemes is demonstrated by some simulated and experimental result.

Keywords

PWM invertors; angular velocity control; digital signal processing chips; electric current control; fuzzy control; machine vector control; neurocontrollers; permanent magnet motors; servomotors; synchronous motor drives; DSP control system; coordinate translation; digital signal processor; field-oriented PMSM; fuzzy neural network control; hysteresis-band current-controlled PWM VSI; permanent magnet synchronous motor drive system; servo drive system; sin/cos lookup table generation; speed control; Control systems; Digital signal processing; Digital signal processors; Fuzzy control; Fuzzy neural networks; Hysteresis; Permanent magnet motors; Pulse width modulation; Servomechanisms; Table lookup; digital signal processor; fuzzy neural network; permanent magnet synchronous motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-2799-4

Electronic_ISBN

978-1-4244-2800-7

Type

conf

DOI

10.1109/ICIEA.2009.5138697

Filename

5138697