Robust Iterative Learning Control of Single-phase Grid-connected Inverter

Zhong-Qiang Wu; Chun-Hua Xu; Yang Yang

doi:10.1007/s11633-014-0806-5

Robust Iterative Learning Control of Single-phase Grid-connected Inverter

doi: 10.1007/s11633-014-0806-5

Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China

基金项目:

This work was supported by Natural Science Foundation of Hebei Province (No. F2012203088).

详细信息

作者简介:
Chun-Hua Xu received his B.Eng. degree in automation from Luoyang Institute of Science and Technology, China in 2011. He is currently a master student in control theory and control engineering at College of Electrical Engineering, Yanshan University, China. His research interests include intelligent control of wind power system. E-mail: muzhiqinghan@163.com

Robust Iterative Learning Control of Single-phase Grid-connected Inverter

Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China

Funds:

This work was supported by Natural Science Foundation of Hebei Province (No. F2012203088).

摘要: For the single phase inductance-capacitance-inductance (LCL) grid-connected inverter in micro-grid, a kind of robust iterative learning controller is designed. Based on the output power droop characteristics of inverter, the current sharing among the inverters is achieved. Iterative learning strategy is suitable for repeated tracking control and inhibiting periodic disturbance, and is designed using robust performance index, so that it has the ability to overcome the uncertainty of system parameters. Compared with the repetitive control, the robust iterative learning control can get high precision output waveform, and enhance the tracking ability for waveform, and the distortion problem of the output signal can be solved effectively.
- Inductance-capacitance-inductance (LCL) filter /
- iterative learning /
- robust control /
- power droop-characteristics /
- repetitive control
Abstract: For the single phase inductance-capacitance-inductance (LCL) grid-connected inverter in micro-grid, a kind of robust iterative learning controller is designed. Based on the output power droop characteristics of inverter, the current sharing among the inverters is achieved. Iterative learning strategy is suitable for repeated tracking control and inhibiting periodic disturbance, and is designed using robust performance index, so that it has the ability to overcome the uncertainty of system parameters. Compared with the repetitive control, the robust iterative learning control can get high precision output waveform, and enhance the tracking ability for waveform, and the distortion problem of the output signal can be solved effectively.
- Inductance-capacitance-inductance (LCL) filter /
- iterative learning /
- robust control /
- power droop-characteristics /
- repetitive control

[1]	N. Hatziargyriou, H. Asano, R. Iravani, C. Marnay. Microgrids. IEEE Power and Energy Magazine, vol. 5, no. 4, pp. 78-94, 2007.
[2]	H. H. Yang, G. W. Yu, Z. F. Fan, H. M. Zhu, D. Q. Bi. The development and application of micro-grid system controller. Power System Protection and Control, vol. 39, no. 19, pp. 126-129, 140, 2011. (in Chinese)
[3]	H. G. Jeong, K. B. Lee, S. Choi, W. Choi. Performance improvement of LCL-filter-based grid-connected inverters using PQR power transformation. IEEE Transactions on Power Electronics, vol. 25, no. 5, pp. 1320-1330, 2010.
[4]	T. Yu, S. Choi, H. Kim. Indirect current control algorithm for utility interactive inverters for seamless transfer. In Proceedings of the 37th IEEE Power Electronics Specialists Conference, IEEE, Jeju, Korea, pp. 1-6, 2006.
[5]	X. Q. Guo, W. Y. Wu, H. R. Gu, L. Q. Wang, Q. L. Zhao. Modelling and stability analysis of direct output current control for LCL interfaced grid-connected inverters. Transactions of China Electrotechnical Society, vol. 25, no. 3, pp. 102-109, 2010. (in Chinese)
[6]	Z. Q. Wu, J. P. Xie. Design of adaptive robust guaranteed cost controller for wind power generator. International Journal of Automation and Computing, vol. 10, no. 2, pp. 111-117, 2013.
[7]	D. Li, J. M. Li. Adaptive iterative learning control for nonlinearly parameterized systems with unknown time-varying delay and unknown control direction. International Journal of Automation and Computing, vol. 9, no. 6, pp. 578-586, 2012.
[8]	A. Garcia-Cerrada, O. Pinzon-Ardila, V. Feliu-Batlle, P. Roncero-Sanchez, P. Garcia-Gonzalez. Application of a repetitive controller for a three-phase active power filter. IEEE Translations on Power Electronics, vol. 22, no. 1, pp. 237-246, 2007.
[9]	J. Dannehl, C.Wessels, F.W. Fuchs. Limitations of voltageoriented PI current control of grid-connected PWM rectifiers with LCL filters. IEEE Transactions on Industrial Electronics, vol. 56, no. 2, pp. 380-388, 2009.
[10]	S. J. Yu, X. D. Qi, J. H. Wu. Iterative Learning Control Theory and Application, Beijing: Machinery Industry Press, 2005. (in Chinese)
[11]	T. Liu, Y. Q. Wang. A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes. Automatica, vol. 48, no. 11, pp. 2762-2775, 2012.
[12]	C. Olalla, I. Queinnec, R. Leyva, A. El Aroudi. Robust optimal control of bilinear DC-DC converters. Control Engineering Practice, vol. 19, no. 7, pp. 688-699, 2011.
[13]	H. Moradi, F. Bakhtiari-Nejad, M. Saffar-Avval. Multivariable robust control of an air-handling unit: A comparison between pole-placement and H_∞ controllers. Energy Conversion and Management, vol. 55, pp. 136-148, 2012.
[14]	S Y. Yang, A. Luo, X P. Fan. Adaptive robust iterative learning control for uncertain robotic systems. Control Theory and Applications, vol. 20, no. 5, pp. 707-712, 2003. (in Chinese)
[15]	M. Wu. The Modern Robust Control, Changsha: Central South University Press, 2006. (in Chinese)
[16]	K. J. Aström, T. Hägglund. Revisiting the Ziegler-Nichols step response method for PID control. Journal of Process Control, vol. 14, no. 6, pp. 635-650, 2004.
[17]	N. M. Seal. Repetitive control. Encyclopedia of the Sciences of Learning, New York: Springer, 2012.
[18]	H. R. Karshenas, H. Sashimi. Basic criteria in designing LCL filters for grid connected converters. In Proceedings of 2006 IEEE International Symposium on Industrial Electronics, IEEE, Montreal, Canada, vol. 3, pp. 1996-2000, 2006.

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Robust Iterative Learning Control of Single-phase Grid-connected Inverter

doi: 10.1007/s11633-014-0806-5

Robust Iterative Learning Control of Single-phase Grid-connected Inverter

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Robust Iterative Learning Control of Single-phase Grid-connected Inverter

doi: 10.1007/s11633-014-0806-5

Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China

English Abstract

Robust Iterative Learning Control of Single-phase Grid-connected Inverter

Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China

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Robust Iterative Learning Control of Single-phase Grid-connected Inverter

doi: 10.1007/s11633-014-0806-5

Robust Iterative Learning Control of Single-phase Grid-connected Inverter

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Robust Iterative Learning Control of Single-phase Grid-connected Inverter

doi: 10.1007/s11633-014-0806-5

Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China

English Abstract

Robust Iterative Learning Control of Single-phase Grid-connected Inverter

Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China

全文HTML

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