The simulation and analysis of DC motor driver system for the hybrid electric vehicle

Author

Zhao, Tao ; Wang, Qunjing ; Jiang, Weidong ; Ni, Youyuan

Author_Institution

Sch. of Electr. Eng. & Autom., Hefei Univ. of Technol., China

Volume

4

fYear

2004

Firstpage

3256

Abstract

The successful design of the cost-effective electric driver system for the hybrid electric vehicle (HEV) depends chiefly on high efficient PWM converter and advanced control strategy. Based on the visual simulation software MATLAB/SIMULINK, the DC motor and its PWM converter composed of different switch devices were modeled and simulated under various working pattern and switch frequency. The self-tuning modifying algorithm based on fuzzy control was introduced to model the percentage and integral factor of speed controller for the DC motor driver system. Compared with the traditional control algorithm, this method helps to reduce the over-regulating of system, to eliminate oscillation, and to quicken the system respondence as well. In all, the application of the method in the simulation is satisfying.

Keywords

DC motor drives; PWM power convertors; control engineering computing; digital simulation; fuzzy control; hybrid electric vehicles; machine control; power engineering computing; velocity control; DC motor driver system; PWM converter; advanced control strategy; fuzzy control; hybrid electric vehicle; speed control; visual simulation software; Analytical models; Control systems; DC motors; Frequency conversion; Fuzzy control; Hybrid electric vehicles; MATLAB; Mathematical model; Pulse width modulation converters; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1343133

Filename

1343133