Implementation of the spatial voltage vector modulation algorithm using an artificial neural network

An algorithm for space vector pulse width modulation (SVPWM) based on an artificial neural network is proposed.

In calculating the action time of the voltage vectors according to the traditional SVPWM algorithm, the values of the relative phase angle on the sectors are used as variables, which causes difficulties in their calculation.

To overcome these shortcomings, mathematical models have been compiled that determine the opening time of the power element by the absolute phase angle on the inverter converter. Since mathematical models have different types of calculation formulas for sectors and it is impossible to express them in an unambiguous formula, to eliminate these difficulties, a function was built using an artificial neural network, with which you can generally determine the opening time of a power element in phases A, B and C.

Regardless of the sectors, the SVPWM algorithm sets the opening time of the power element according to the phase angle θ on the inverter converter.

The generalized ability of the artificial neural network and its accuracy, as well as the simulation operation time in the MATLAB environment, were tested.

The proposed method makes it possible to achieve high speed control accuracy and significantly reduce the operation time.

When controlling the traction drive of an electric rolling stock with an asynchronous traction motor, it is possible to reduce the regulation period, as a result, the traction capacity of electric locomotives and metro electric trains with vector control or with direct torque control increases by about 1.1–1.2 times.

1. Kim J.S., Sul S.K. A novel voltage modulation technique of the space vector PWM. In Conf. Rec. IPEC’95. Yokohama, Japan, 1995; 742-747.

2. Reddy N.R., Teegala B.R., Amarnath J., Rayudu D.S. Simplifi ed SVPWM Algorithm for Vector Controlled Induction Motor Drive Using the Concept of Imaginary Switching Times. International Journal of Recent Trends in Engineering. 2009;2(5):288-290.

3. Reddy T.B., Amamath R.J., Subbarayudu D. Improvement of DTC performance by using hybrid space vector Pulsewidth modulation algorithm. International Review of Electrical Engineering. 2007;4(2):593-600.

4. Bakhshai A.R., Joos G., Jain P.K., Jin H. Incorporating the Overmodulation Range in Space Vector Pattern Generators Using a Classifi cation Algorithm. IEEE Transactions on Power Electronics. 2000;15(1):83-91. DOI: 10.1109/63.817366

5. Tripathi A., Khambadkone A.M., Panda S.K. Torque Ripple Analysis and Dynamic Performance of a Space Vector Modulation Based Control Method for AC-Drives. IEEE Transactions on Power Electronics. 2005;20(2):485-492. DOI: 10.1109/tpel.2004.842956

6. Narayanan G., Ranganathan V.T. Extension of Operation of Space Vector PWM Strategies With Low Switching Frequencies Using Different Overmodulation Algorithms. IEEE Transactions on Power Electronics. 2002;17(5):788-798. DOI: 10.1109/tpel.2002.802190

7. Zhan С., Arulampalam A., Jenkins N. Four-Wire Dynamic Voltage Restorer Based on a Three-Dimensional Voltage Space Vector PWM Algorithm. IEEE Transactions on Power Electronics. 2003;18(4):1093-1102. DOI: 10.1109/tpel.2003.813772

8. Ma J.D., Wu B., Zargari N.R., Rizzo S.C. A Space Vector Modulated CSI-Based AC Drive for Multimotor Applications. IEEE Transactions on Power Electronics. 2001;16(4):535-544. DOI: 10.1109/63.931075

9. Trzynadlowski A.M., Bech M.M., Blaabjerg F., Pedersen J.K., Kirlin R.L., Zigliotto M. Optimization of Switching Frequencies in the Limited-Pool Random Space Vector PWM Strategy for Inverter-Fed Drives. IEEE Transactions on Power Electronics. 2001;16(6):852857. DOI: 10.1109/63.974384

10. Narayanan G., Ranganathan V.T. Two Novel Synchronized Bus-Clamping PWM Strategies Based on Space Vector Approach for High Power Drives. IEEE Transactions on Power Electronics. 2002;17(1):84-93. DOI: 10.1109/63.988673

11. Tunyasrirut S., Srilad S., Suksri T. Comparison power quality of the voltage source inverter type SVPWM and SPWM technique for induction motor drive. 2008 SICE Annual Conference. 2008. DOI: 10.1109/sice.2008.4654659

12. Guo G., You W. Quality analysis of SVPWM inverter output voltage. 2008 International Conference on Computer Science and Software Engineering. 2008. DOI: 10.1109/csse.2008.666

13. Shaobang X., Ke-You Z. Research on a novel SVPWM algorithm. 2007 2nd IEEE Conference on Industrial Electronics and Applications. 2007. DOI: 10.1109/iciea.2007.4318734

14. Trzynadlowski A.M. An overview of modern PWM techniques for three-phase, voltage-controlled, voltage-source inverters. Proceedings of IEEE International Symposium on Industrial Electronics. 1996. DOI: 10.1109/isie.1996.548389

15. Casadei D., Serra G., Tani K. Implementation of a direct control algorithm for induction motors based on discrete space vector modulation. IEEE Transactions on Power Electronics. 2000;15(4):769-777. DOI: 10.1109/63.849048

16. Holtz J. Pulsewidth modulation-a survey. IEEE Transactions on Industrial Electronics. 1992;39(5):410-420. DOI: 10.1109/41.161472