An Application of Neural Network-based Sliding Mode Control for Multilevel Inverters

Authors

  • Quang-Tho Tran Faculty of Electrical and Electronics Engineering, HCMC University of Technology and Education, Vietnam
Volume: 14 | Issue: 1 | Pages: 12530-12535 | February 2024 | https://doi.org/10.48084/etasr.6516

Abstract

Multi-level 3-phase inverters using cascaded H-bridges are becoming prominent in the electric drive and renewable energy sectors due to their high capacity and ability to withstand high voltage shocks. Therefore, the modulation and control techniques used in these multilevel inverters have a crucial influence on the quality of the output voltage they produce. The significantly high common-mode voltage amplitude they generate is one of their disadvantages, causing leakage currents and harmonics. This article proposes a new technique using sliding mode control combined with neural networks to manage a three-phase multi-level inverter. The research objective of this innovative technique is to eliminate the need for current controllers and conventional modulation that relies on carrier signals, reducing hardware calculations and enhancing dynamic response. In addition, it demonstrates the ability to minimize harmonics, common mode voltage, and the number of switching counts, thereby limiting the inverter switching losses and increasing device performance. Simulation results performed on a 5-level 3-phase inverter using cascaded H-bridges have confirmed the effectiveness of the proposed method.

Keywords:

multilevel inverter, common mode voltage, neural network controller, phase opposition disposition

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References

K. Gudipati, H. V. R. Maramreddy, S. G. Kolli, V. A. Lakshmi, and G. S. Reddy, "Comparison of Pulse Width Modulation Techniques for Diode-Clamped and Cascaded Multilevel Inverters," Engineering, Technology & Applied Science Research, vol. 13, no. 4, pp. 11078–11084, Aug. 2023.

W. Boucheriette, A. Moussi, R. Mechgoug, and H. Benguesmia, "A Multilevel Inverter for Grid-Connected Photovoltaic Systems Optimized by Genetic Algorithm," Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10249–10254, Apr. 2023.

M. J. Shah, K. S. Pandya, and P. Chauhan, "Direct ADC Controlled Asymmetric Cascaded Multilevel Inverter," Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 9071–9077, Aug. 2022.

P. T. Giang, V. T. Ha, and V. H. Phuong, "Drive Control of a Permanent Magnet Synchronous Motor Fed by a Multi-level Inverter for Electric Vehicle Application," Engineering, Technology & Applied Science Research, vol. 12, no. 3, pp. 8658–8666, Jun. 2022.

V. T. Ha, P. T. Giang, and V. H. Phuong, "T-Type Multi-Inverter Application for Traction Motor Control," Engineering, Technology & Applied Science Research, vol. 12, no. 2, pp. 8321–8327, Apr. 2022.

A. Poorfakhraei, M. Narimani, and A. Emadi, "A Review of Modulation and Control Techniques for Multilevel Inverters in Traction Applications," IEEE Access, vol. 9, pp. 24187–24204, Feb. 2021.

V. Jayakumar, B. Chokkalingam, and J. L. Munda, "A Comprehensive Review on Space Vector Modulation Techniques for Neutral Point Clamped Multi-Level Inverters," IEEE Access, vol. 9, pp. 112104–112144, Jul. 2021.

D. Busse, J. Erdman, R. J. Kerkman, D. Schlegel, and G. Skibinski, "Bearing currents and their relationship to PWM drives," IEEE Transactions on Power Electronics, vol. 12, no. 2, pp. 243–252, Mar. 1997.

Application Note, Motor Bearing Current Phenomenon, Rev: 08-08. Yaskawa Electric America, Inc., 2008.

C.-C. Hou, C.-C. Shih, P.-T. Cheng, and A. M. Hava, "Common-Mode Voltage Reduction Pulsewidth Modulation Techniques for Three-Phase Grid-Connected Converters," IEEE Transactions on Power Electronics, vol. 28, no. 4, pp. 1971–1979, Apr. 2013.

M. A. Zdiri, B. Dhouib, Z. Alaas, F. B. Salem, and H. H. Abdallah, "Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network," Engineering, Technology & Applied Science Research, vol. 13, no. 1, pp. 10078–10085, Feb. 2023.

M. M. H. Milu, M. A. Rahman, M. A. Rashid, A. Kuwana, and H. Kobayashi, "Improvement of Classification Accuracy of Four-Class Voluntary-Imagery fNIRS Signals using Convolutional Neural Networks," Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10425–10431, Apr. 2023.

M. Kiruthika and S. Bindu, "Classification of Electrical Power System Conditions with Convolutional Neural Networks," Engineering, Technology & Applied Science Research, vol. 10, no. 3, pp. 5759–5768, Jun. 2020.

H.-G. Han, L. Zhang, Y. Hou, and J.-F. Qiao, "Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network," IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 402–415, Oct. 2016.

B. Su, F. Zhang, and P. Huang, "Stability Analysis and RBF Neural Network Control of Second-Order Nonlinear Satellite System," IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 4, pp. 4575–4589, Dec. 2023.

X. Shen, H. Wang, J. Li, Q. Su, and L. Gao, "Distributed Secondary Voltage Control of Islanded Microgrids Based on RBF-Neural-Network Sliding-Mode Technique," IEEE Access, vol. 7, pp. 65616–65623, 2019.

K. Ullah, J. Guzinski, and A. F. Mirza, "Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation," Energies, vol. 15, no. 3, 2022.

H. R. Baghaee, A. K. Kaviani, M. Mirsalim, and G. B. Gharehpetian, "Harmonic optimization in single DC source multi-level inverters using RBF neural networks," in 2012 3rd Power Electronics and Drive Systems Technology (PEDSTC), Tehran, Iran, Oct. 2012, pp. 403–409.

J. Gurram, N. S. Babu, and G. N. Srinivas, "Artificial neural network based DC-DC converter for grid connected transformerless PV system," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 13, no. 2, pp. 1246–1254, Jun. 2022.

H. Attia, "High performance PV system based on artificial neural network MPPT with PI controller for direct current water pump applications," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 10, no. 3, pp. 1329–1338, Sep. 2019.

J. Hou, D. Yao, F. Wu, J. Shen, and X. Chao, "Online Vehicle Velocity Prediction Using an Adaptive Radial Basis Function Neural Network," IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3113–3122, Apr. 2021.

F. Yao, J. Zhao, X. Li, L. Mao, and K. Qu, "RBF Neural Network Based Virtual Synchronous Generator Control With Improved Frequency Stability," IEEE Transactions on Industrial Informatics, vol. 17, no. 6, pp. 4014–4024, Jun. 2021.

S. Vijayalakshmi, V. Ganapathy, C. Anuradha, R. C. Ilambirai, and V. Ganesh, "Intelligent approach on sensorless control of permanent magnet synchronous generator," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 13, no. 3, pp. 1770–1778, Sep. 2022.

J. Fei, N. Liu, S. Hou, and Y. Fang, "Neural network complementary sliding mode current control of active power filter," IEEE Access, vol. 9, pp. 25681–25690, 2021.

Z. Laala, A. Benaissa, B. Rabhi, and M. F. Benkhoris, "Neural network controller for five phases shunt active power filter applied for five phase embarked electrical network," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 14, no. 2, pp. 1024–1032, Jun. 2023.

L. Abdelhak, B. Anas, B. Jamal, and E. O. Mostafa, "Optimized control of three-phase inverters to minimize total harmonic distortion in a grid-connected photovoltaic system," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 13, no. 4, pp. 2255–2268, Dec. 2022.

V. Q. Vinh and V. T. Ha, "Improved Torque Ripple of Switched Reluctance Motors using Sliding Mode Control for Electric Vehicles," Engineering, Technology & Applied Science Research, vol. 13, no. 1, pp. 10140–10144, Feb. 2023.

M. S. Shah, T. Mahmood, A. U. Rehman, M. Q. Manan, and M. F. Ullah, "Power Quality Improvement using Dynamic Voltage Restorer with Real Twisting Sliding Mode Control," Engineering, Technology & Applied Science Research, vol. 12, no. 2, pp. 8300–8305, Apr. 2022.

A. Maafa, H. Mellah, K. Ghedamsi, and D. Aouzellag, "Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter," Engineering, Technology & Applied Science Research, vol. 12, no. 5, pp. 9217–9223, Oct. 2022.

Q.-T. Tran and V.-Q. Nguyen, "Reduction of common mode voltage for grid-connected multilevel inverters using fuzzy logic controller," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 14, no. 2, pp. 698–707, Jun. 2023.

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How to Cite

[1]
Q.-T. Tran, “An Application of Neural Network-based Sliding Mode Control for Multilevel Inverters”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 1, pp. 12530–12535, Feb. 2024.

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