A Neural Network Based Space-Vector PWM Controller for Motor Drive

Abstract:

This paper proposed an artificial neural network (ANN) based space vector pulse width modulation (SVPWM) for motor drive which fully covers the undermodulation and overmodulation regions. A neural network has the advantage of very fast implementation of an SVPWM algorithm that can increase the converter switching frequency, particularly when a dedicated application-specific integrated circuit chip is used in the modulator. Finally, in the environment of MATLAB/Simulink with the Neural Network Toolbox builds the simulation model of system with proposed ANN-SVPWM controller. The simulation results show that the performances of the motor drive with artificial-neural-network-based SVPWM are excellent.

• Periodical: Advanced Materials Research (Volumes 816-817)
• Pages: 1002-1005
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.816-817.1002
• Online since: September 2013
• Authors: Zhi Yuan
• Keywords: Motor, Neural Network (NN), PWM, Space Vector

References

[1] V. Vlatkovic. and D. Borojevic, Digital-signal-processor-based control of three-phase space vector modulated converters, IEEETrans. Ind. Electron., vol. 41, no. 3, pp.326-332, June (1994).

DOI: 10.1109/41.293903

[2] D. C. Lee and G. M. Lee, A novel overmodulation technique for space vector PWM inverters, IEEE Trans. Power Electron., vol. 13, p.1144–1151, Nov. (1998).

DOI: 10.1109/63.728341

[3] J. O. P. Pinto, B. K. Bose, L. E. B. Silva, M.P. Karmierkowski A Neural Network Based Space Vector PWM Controller for Voltage-Fed Inverter Induction Motor Drive, IEEE Trans. on Ind. Appl., vol. 36, no. 6, November/December (2000).

DOI: 10.1109/28.887215

[4] Cai Baoping, Liu Yonghong, Zhang Haifeng Based on artificial neural network SVPWM technology, [J]. Proceedings of the EPSA, 2010, 22( 1): 43-47.

[5] Liu Yan. The improved SVPWM algorithm based on non-orthogonal coordinate system,. [J]. control and instruments in chemical industry, 2010, 37 (1): 63- 65.