DocumentCode :
1602358
Title :
A Design Approach for Observer-based Robust Traction Control with PMSM
Author :
Zheng, Kai ; Shen, Tielong ; Yao, Yu
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol.
fYear :
2006
Firstpage :
3664
Lastpage :
3669
Abstract :
Slip-ratio control of EV is one of the fundamental traction control problems especially for the unknown road condition. In order to regulate the slip-ratio around a constant value, a robust nonlinear control law at the torque level is proposed in this paper. In this control scheme, a nonlinear observation algorithm is designed to estimate the car velocity by using the wheel speed information. And an adaptive method is introduced to approximate the nonlinear friction parameters. Then, by means of the backstepping technology, a new torque control strategy for PMSM with vector transformation is presented to achieve the desired torque for the robust traction. The simulation results shows that the goal of traction control is achieved
Keywords :
adaptive control; automobiles; control system synthesis; electric vehicles; machine vector control; nonlinear control systems; observers; permanent magnet motors; robust control; synchronous motors; torque control; traction motors; PMSM; adaptive method; backstepping technology; car velocity estimation; electric vehicle; friction parameters; nonlinear control; nonlinear observation algorithm; permanent magnet synchronous motor; robust traction control; slip-ratio control; speed observer; torque control; vector transformation; wheel speed information; Backstepping; Control systems; Electric vehicles; Friction; Road vehicles; Robust control; Torque control; Vehicle safety; Velocity control; Wheels; PMSM; Traction control; backstepping; nonlinear system; speed observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.314927
Filename :
4108399
Link To Document :
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