Abstract
In this brief, a neural dynamic surface control algorithm is proposed for three-phase pulse width modulation voltage source rectifier with the parametric variations. Neural networks are employed to approximate the uncertainties, including the parametric variations and the unknown load-resistance. The actual control laws are derived by using the dynamic surface control method. Furthermore, a linear tracking differentiator is introduced to replace the first-order filter to calculate the derivative of the virtual control law. Thus, the peaking phenomenon of the filter is suppressed during the initial phase. The system stability is analyzed by using the Lyapunov theory. Simulation results are provided to validate the efficacy of the proposed controller.
This work was in part supported by the National Nature Science Foundation of China under Grants 61273137, 51209026, 51579023, and in part by the Scientific Research Fund of Liaoning Provincial Education Department under Grant L2013202, and in part by the Fundamental Research Funds for the Central Universities under Grants 3132015021, 3132014321, and in part by the China Postdoctoral Science Foundation under Grant 2015M570247.
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Choi, D.K., Lee, K.B.: Dynamic performance improvement of AC/DC converter using model preictive direct power control with finite control set. IEEE Transactions on Industrial Electronics 62(2), 757–767 (2015)
Wu, R., Dewan, S.B., Slemon, G.R.: Analysis of an ac to dc voltage source converter using PWM with phase and amplitude control. IEEE Transactions on Industry Applications 27(2), 355–364 (1991)
Sato, A., Noguchi, T.: Voltage-source PWM rectifier-inverter based on direct power control and its operation characteristic. IEEE Transactions on Power Electronics 26(5), 1559–1567 (2011)
Xia, C.L., Wang, M., Song, Z.F., Liu, T.: Robust model predictive current control of three-phase voltage source PWM rectifier with online disturbance observation. IEEE Transactions on Industrial Informatics 8(3), 459–471 (2012)
Liang, J.Q., Qiao, W., Hareley, R.G.: Feed-forward transient current control for low-voltage ride-through enhancement of DFIG wind turbines. IEEE Transactions on Energy Conversion 25(3), 836–843 (2010)
Yin, Z.G., Liu, J., Zhong, Y.R.: Study and control of three-phase PWM rectifier based on dual single-input single-output model. IEEE Transactions on Industrial Informatics 9(2), 1064–1073 (2013)
Allag, A., Hammoudi, M.Y., Mimoune, S.M., Ayad, M.Y.: Adaptive backstepping voltage controller design for an PWM AC-DC converter. International Journal of Electrical and Power Engineering 1(1), 62–69 (2007)
Wang, G.D., Wai, R.J., Liao, Y.: Design of backstepping power control for grid-side converter of voltage source converter-based high-voltage dc wind power generation system. IET Renewable Power Generation 7(2), 118–133 (2013)
Swaroop, D., Gerdes, J.C., Yip, P.P., Hedrick, J.K.: Dynamic surface control of nonlinear systems. In: Proceedings of the 1997 American Control Conference, Albuquerque, pp. 3028–3034 (1997)
Wang, D., Huang, J.: Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form. IEEE Transactions on Neural Networks 16(1), 195–202 (2005)
Han, S.I., Lee, J.M.: Precise positioning of nonsmooth dynamic systems using fuzzy wavelet echo state network and dynamic surface sliding mode control. IEEE Transactions on Industrial Electronics 60(11), 5124–5136 (2013)
Guo, B.Z., Han, J.Q., Xi, F.B.: Linear tracking-differentiator and application to online estimation of the frequency of a sinusoidal signal with random noise perturbation. International Journal of Systems Science 33(5), 351–358 (2002)
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© 2015 Springer International Publishing Switzerland
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Diao, L., Wang, D., Peng, Z., Guo, L. (2015). Neural Dynamic Surface Control for Three-Phase PWM Voltage Source Rectifier. In: Hu, X., Xia, Y., Zhang, Y., Zhao, D. (eds) Advances in Neural Networks – ISNN 2015. ISNN 2015. Lecture Notes in Computer Science(), vol 9377. Springer, Cham. https://doi.org/10.1007/978-3-319-25393-0_4
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DOI: https://doi.org/10.1007/978-3-319-25393-0_4
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