Study on Neural Network Control Strategy of Electric Vehicle in-Wheel Motor

Xu Chen; Da Wei Li; Zhen Jiang Jiang

doi:10.4028/www.scientific.net/AMR.317-319.1228

Paper Titles

Wavelet Packet Algorithm to Feature Extraction of Heart Sound
p.1211

Fault Diagnosis Technology for Power Electronics Rectifier Based on Wavelet Packet
p.1215

The Realization of the Information Acquisition System for Fiber-Capacitive Drop Analyzer
p.1219

Research on Speed Observer of PMSM Servo System
p.1223

Study on Neural Network Control Strategy of Electric Vehicle in-Wheel Motor
p.1228

Mine Hoist Bearing Condition Monitoring and Fault Diagnosis System Based on Labview
p.1232

Fuel Identification Based on the Least Squares Support Vector Machines
p.1237

The Harmonic Analysis of Power System
p.1241

Control System and Signal Acquisition of Intelligent Bending for Wide Quadrangle Plate
p.1245

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319Study on Neural Network Control Strategy of...

Study on Neural Network Control Strategy of Electric Vehicle in-Wheel Motor

Abstract:

The brushless direct current motor(DC) simulation model based on neural network control strategy is developed, according to the physical structure of the motor, after the analysis of in-wheel motor mathematical model. The simulation has pulse width modulation (PWM) generation module,which can adjust the PWM duty cycle to regulate the motor speed. Simulation results show that there is good agreement between the output ofsimulation model and the theoretical analysis.The application of neural networkcontrol in brushless DC motor offers the advantages of rapid response, without overshoot ,and higher steady-state accuracy.

You might also be interested in these eBooks

Equipment Manufacturing Technology and Automation

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

1228-1231

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.1228

Citation:

Cite this paper

Online since:

August 2011

Authors:

Xu Chen, Da Wei Li, Zhen Jiang Jiang

Keywords:

In-Wheel Motor, Neural Network (NN), Pulse Width Modulation (PWM), Simulation Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Gieras J F. Wing M. Permanent magnet motor technology design and applications [M].New York: Marcel Dekker Press, 2002.

Google Scholar

[2] Pyhonen J, Jokinen T, Hrabovcova V, et al. Design of rotating electrical machines [M]. UK: John Willey & Sons Press, 2008.

Google Scholar

[3] Zhu X, Cheng M , Zhao W, et al. A transient cosimulation approach to performance analysis of a hybrid excited doubly salient motor considering indirect field-circuit coupling [J]. IEEE Transaction on Magnetics, 2007,43(6).

DOI: 10.1109/tmag.2007.893318

Google Scholar

[4] Niu S, Chau K T, Yu C. Quantitative comparison of double-stator and traditional permanent magnet brushless machines [J]. IEEE Transaction on Magnetics, 44(11).

DOI: 10.1109/tmag.2008.2002632

Google Scholar

[5] Chai F, Cheng S, Cui S. Torque analysis for double-stator permanent-magnet motor [J]. Journal of Harbin Institute of Tschnology, 2002,9(4).

Google Scholar

[6] Fan Y, Chau K T, Cheng M. A new three-phase doubly salient pwemanent magnet machine foe wind power generation [J]. IEEE Transaction on Industry Application ,2006,42(1).

DOI: 10.1109/tia.2005.861910

Google Scholar