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Fuzzy PI Compound Control of PWM Rectifiers with Applications to Marine Vehicle Electric Propulsion System

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Abstract

Within a marine vehicle electric propulsion system, three-phase voltage source PWM rectifiers instantaneously produce larger impulse current and overshoot of DC voltage during the startup and load transients, and may lead to system instability; a fuzzy PI compound control scheme is proposed to replace the traditional PI controller in the voltage outer loop. In order to circumvent the defects of the traditional PI controller, the voltage outer loop is designed by combining a fuzzy controller and a PI controller. Moreover, fuzzy control rules are employed to online adapt parameters of the PI controller, and thereby enhancing the system robustness, and contributing to faster dynamic response and smaller overshoot. Simulation results demonstrate that the proposed control scheme can effectively suppress the impulse current and overshoot of DC voltage during the startup and load transients, and improve the anti-disturbance ability of the rectifier and the operation reliability of the marine vehicle electric propulsion system.

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References

  1. Lin, Z., Huang, S., Wan, S.: A novel PWM rectifier control strategy applied on ship shaft synchronous generator converter system. Chin. Soc. Electr. Eng. 36(4), 1117–1126 (2016)

    Google Scholar 

  2. Zhang, Y., Gao, J., Qu, C.: Relationship between two direct power control methods for PWM rectifiers under unbalanced network. IEEE Trans. Power Electron. 32(5), 4084–4094 (2017)

    Article  Google Scholar 

  3. Cho, Y., Lee, K.B.: Virtual-flux-based predictive direct power control of three-phase PWM rectifiers with fast dynamic response. IEEE Trans. Power Electron. 31(4), 3348–3359 (2016)

    Article  Google Scholar 

  4. Wu, F., Sun, D., Duan, J.: Diagnosis of single-phase open-line fault in three-phase PWM rectifier with LCL filter. IET Gener. Transm. Distrib. 10(6), 1410–1421 (2016)

    Article  Google Scholar 

  5. Gu, L., Jin, K.: A three-phase isolated bidirectional AC/DC converter and its modified SVPWM algorithm. IEEE Trans. Power Electron. 30(10), 5458–5468 (2015)

    Article  Google Scholar 

  6. Yao, X., Wang, X., Feng, Z.: Research on of improvement of the dynamic ability for PWM rectifier. Trans. China Electrotech. Soc. 31(1), 169–175 (2016)

    Google Scholar 

  7. Wei, K.X., Du, J.F., Du, M.X.: Analysis of three phase PWM rectifier voltage outer loop PI regulating process. High Volt. Eng. 36(9), 2336–2340 (2010)

    Google Scholar 

  8. Wang, E., Huang, S.: A novel double closed loops control of the three-phase voltage-sourced PWM rectifier. Chin. Soc. Electr. Eng. 32(15), 24–30 (2012)

    Google Scholar 

  9. Bhanu, P., Pappa, N.: SVPWM: torque level controlling of wind turbine system using fuzzy and ABC-DQ transformation. Int. J. Fuzzy Syst. 19(1), 141–154 (2017)

    Article  Google Scholar 

  10. Akherraz, M.: Intelligent control strategy of a three-phase PWM rectifier based on artificial neural networks approach and fuzzy logic controller. In: Proceedings of 16th International Conference on Hybrid Intelligent Systems (HIS), pp. 329–339 (2017)

  11. Wang, M., Shi, Y., Qi, Z.: Robust model predictive current control strategy for three-phase voltage source PWM rectifiers. Int. J. Electron. 104(2), 250–270 (2017)

    Article  Google Scholar 

  12. Vidhya, D.S., Venkatesan, T., Kanagaraj, N.: Fuzzy logic controller for variable boost function in quasi Z source indirect matrix converter during voltage sag condition. Int. J. Fuzzy Syst. 19(4), 1093–1103 (2017)

    Article  Google Scholar 

  13. Choi, H.J., Hyun, S.W., Hong, S.J., Won, C.Y.: Feedforward compensation method to reduce startup inrush current of three-phase PWM converter. In: IEEE Transportation Electrification Conference and Expo, pp. 285–289 (2016)

  14. Yao, X., Wang, X.: Research on new method of improvement of the dynamic ability for PWM rectifier. In: IEEE Transportation Electrification Conference and Expo, pp. 1–5 (2014)

  15. Gu, B.G., Choi, J.H., Jung, I.S.: Start-up current control method for three-phase PWM rectifiers with a low initial DC-link voltage. J. Power Electron. 12(4), 587–594 (2012)

    Article  Google Scholar 

  16. Park, Y.W., Shin, S.C., Lee, H.J., Han, D.W. Won, C.Y.: Start-up techniques of three-phase AC/DC PWM converter with diode rectifier under full load in DC distribution systems. In: Proceedings of International Conference on Electrical Machines and Systems (ICEMS), pp. 1707–1711 (2013)

  17. Zhong, C., Du, H., Yang, M.: Analysis of starting inrush current of three-phase unity power factor VSR and its suppression. Power Electron. 47(5), 32–34 (2013)

    Google Scholar 

  18. Gorla, N.B.Y., Kolluri, S., Das, P., Panda, S.K.: A new control scheme to improve load transient response of single phase PWM rectifier with auxiliary current injection circuit. In: Proceedings of IEEE Applied Power Electronics Conference and Exposition (APEC), pp. 552–557 (2016)

  19. Xiong, X., Yongjun, Z., Jing, W.: Direct power control under three phase boost type PWM rectifiers based on power compensation of complete response. Trans. China Electrotech. Soc. 30(4), 114–120 (2015)

    Google Scholar 

  20. Weidong, J., Wangmin, L., Yangyang, S.: Control strategy for PWM rectifier based on feedback of the energy stored in capacitor and load power feed-forward. Trans. China Electrotech. Soc. 30(8), 151–158 (2015)

    Google Scholar 

  21. Zhang, X.N., Vilathgamuwa, D.M., Foo, G., Tseng, K.J.: Cascaded sliding mode control for global stability of three phase AC/DC PWM rectifier with rapidly varying power electronic loads. In: Proceedings of 39th Annual Conference of the IEEE Industrial Electronics Society, pp. 4580–4587 (2013)

  22. Wang, N., Sun, J.C., Er, M.J.: Tracking-error-based universal adaptive fuzzy control for output tracking of nonlinear systems with completely unknown dynamics. IEEE Trans. Fuzzy Syst. (2017). doi:10.1109/TFUZZ.2017.2697399

    Google Scholar 

  23. Wang, N., Er, M.J.: Direct adaptive fuzzy tracking control of marine vehicles with fully unknown parametric dynamics and uncertainties. IEEE Trans. Control Syst. Technol. 24(5), 1845–1852 (2016)

    Article  Google Scholar 

  24. Wang, N., Er, M.J., Sun, J.C., Liu, Y.C.: Adaptive robust online constructive fuzzy control of a complex surface vehicle system. IEEE Trans. Cybern. 46(7), 1511–1523 (2016)

    Article  Google Scholar 

  25. Su, S.F., Chen, M.C., Hsueh, Y.C.: A novel fuzzy modeling structure-decomposed fuzzy system. IEEE Trans. Syst. Man Cybern. Syst. 47(8), 2311–2317 (2017)

    Article  Google Scholar 

  26. Hsueh, Y.C., Su, S.F., Chen, M.C.: Decomposed fuzzy systems and their application in direct adaptive fuzzy control. IEEE Trans. Cybern. 44(10), 1772–1783 (2014)

    Article  Google Scholar 

  27. Wang, N., Su, S.F., Yin, J., Zheng, Z., Er, M.J.: Global asymptotic model-free trajectory-independent tracking control of an uncertain marine vehicle: an adaptive universe-based fuzzy control approach. IEEE Trans. Fuzzy Syst. (2017). doi:10.1109/TFUZZ.2017.2737405

    Google Scholar 

  28. Wang, N., Sun, J.C., Han, M., Zheng, Z., Er, M.J.: Adaptive approximation-based regulation control for a class of uncertain nonlinear systems without feedback linearizability. IEEE Trans. Neural Netw. Learn. Syst. (2017). doi:10.1109/TNNLS.2017.2738918

    Google Scholar 

  29. Wang, N., Gao, Y., Sun, Z., Zheng, Z.: Nussbaum-based adaptive fuzzy tracking control of unmanned surface vehicles with fully unknown dynamics and complex input nonlinearities. Int. J. Fuzzy Syst. (2017). doi:10.1007/s40815-017-0387-x

    Google Scholar 

  30. Wang, N., Sun, Z., Zheng, Z., Zhao, H.: Finite-time sideslip observer-based adaptive fuzzy path-following control of underactuated marine vehicles with time-varying large sideslip. Int. J. Fuzzy Syst. (2017). doi:10.1007/s40815-017-0392-0

    Google Scholar 

  31. Xiang, X., Yu, C., Zhang, Q.: On intelligent risk analysis and critical decision of underwater robotic vehicle. Ocean Eng. 140, 453–465 (2017)

    Article  Google Scholar 

  32. Chang, C.W., Tao, C.W., Chuang, C.C.: Design of a DSP-based PD-like fuzzy controller for buck DC–DC converters. Int. J. Fuzzy Syst. 18(6), 971–979 (2016)

    Article  MathSciNet  Google Scholar 

  33. Rama, R.S., Latha, P.: An effective torque ripple reduction for permanent magnet synchronous motor using ant colony optimization. Int. J. Fuzzy Syst. 17(4), 577–584 (2015)

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank the Editor-in-Chief, Associate Editor and anonymous referees for their invaluable comments and suggestions. This work is supported by the National Natural Science Foundation of P. R. China (under Grants 51009017 and 51379002), Applied Basic Research Funds from Ministry of Transport of P. R. China (under Grant 2012-329-225-060), China Postdoctoral Science Foundation (under Grant 2012M520629), the Fund for Dalian Distinguished Young Scholars (under Grant 2016RJ10), the Innovation Support Plan for Dalian High-level Talents (under Grant 2015R065), and the Fundamental Research Funds for the Central Universities (under Grant 3132016314).

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Authors and Affiliations

  1. Center for Intelligent Marine Vehicles, School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China

    Zhongjiu Zheng, Ning Wang & Zhuo Sun

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  1. Zhongjiu Zheng
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  2. Ning Wang
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  3. Zhuo Sun
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Correspondence to Ning Wang.

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Zheng, Z., Wang, N. & Sun, Z. Fuzzy PI Compound Control of PWM Rectifiers with Applications to Marine Vehicle Electric Propulsion System. Int. J. Fuzzy Syst. 20, 587–596 (2018). https://doi.org/10.1007/s40815-017-0394-y

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  • DOI: https://doi.org/10.1007/s40815-017-0394-y

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