Articles
Robust controller based on the technical QFT for converters DC-DC buck - boost as photovoltaic generator voltage regulator
Published 2018-01-12
Keywords
- Robust control QFT,
- buck-boost converter,
- PV generator
How to Cite
Nuñez, R., & Pinzón, O. (2018). Robust controller based on the technical QFT for converters DC-DC buck - boost as photovoltaic generator voltage regulator. Revista UIS Ingenierías, 17(1), 243–250. https://doi.org/10.18273/revuin.v17n1-2018024
Abstract
In this paper we present a robust controller based on the quantitative feedback theory (QFT) for a DC-DC converter Buck-Boost in continuous conduction mode that regulates the voltage supplied by a PV-UD190HA6 photovoltaic generator 190 Wp. The proposed control strategy is designed using model-based design techniques using the Simlink® environment of Matlab® and the Simscape Toolbox for modeling physical systems. The QFT control scheme has been modified from a Smith Predictor type structure for non-minimal phase systems, showing a robust behavior of the regulator output voltage before changes in the load impedance, variation of the operating point of the converter as a consequence of the variation of irradiation and temperature of the photovoltaic generator, getting the proposed controller to comply with the established performance specifications and reducing the effort in the control signal.
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References
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H. S. Khan and A. Y. Memon, “FIL simulation of sliding mode controller for DC/DC boost converter,” in 2016 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST), pp. 112–117, 2016.
M. E. Şahın, H. İ. Okumuş, and H. Kahvecı, “Sliding mode control of PV powered DC/DC Buck-Boost converter with digital signal processor,” in 2015 17th European Conference on Power Electronics and Applications (EPE’15 ECCE-Europe), pp. 1–8, 2015.
A. Alam, L. Tao, K. Habib, and S. Khan, “Model predictive control for disturbance rejection and robust stability in Buck-Boost converter,” in 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), pp. 892–895, 2016.
A. Alam, L. Tao, and K. Habib, “Optimal model predictive control for disturbance rejection and stability in buck-boost converter and its comparison with classical technique,” in 2016 IEEE International Conference on Power System Technology (POWERCON), pp. 1–6, 2016.
R. R. de C. Vaz, S. P. Pimentel, and S. Araújo, “Analysis and control of a non-inverter Buck-Boost power DC-DC converter by state-space modeling and applied to PV systems under MPPT operation,” in 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM),
pp. 338–343, 2015.
M. Garcia-Sanz, Robust Control Engineering: Practical QFT Solutions. CRC Press, 2017.
T. Khatib and W. Elmenreich, Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes. John Wiley & Sons, 2016.
B. J. Saharia, M. Manas, and S. Sen, “Comparative Study on Buck and Buck-Boost DC-DC Converters for MPP Tracking for Photovoltaic Power Systems,” in 2016 Second International Conference on Computational Intelligence Communication Technology (CICT), pp. 382–387, 2016.
S. Bacha, I. Munteanu, and A. I. Bratcu, Power Electronic Converters Modeling and Control. London: Springer London, 2014.
I. HOROWITZ and M. SIDI, “Optimum synthesis of non-minimum phase feedback systems with plant uncertainty†,” Int. J. Control, Apr. 2007.
W.-H. Chen and D. J. Ballance, “QFT design for uncertain non-minimum phase and unstable plants revisited,” Int. J. Control, vol. 74, no. 9, pp. 957–965, Enero 2001.
M. Garcia-Sanz and C. H. Houpis, Wind Energy Systems: Control Engineering Design. CRC Press, 2012.
A. A. Towati, Dynamic Analysis and QFT-based Robust Control Design of Switched-mode Power Converters. Helsinki University of Technology, 2008.
M. G. Martínez, “Síntesis de controladores robustos mediante el análisis de la compatibilidad de especificaciones e incertidumbre,” http://purl.org/dc/dcmitype/Text, Universidad Pública de Navarra, 2001.
C. H. Houpis, S. N. Sheldon, and J. J. D’Azzo, Linear Control System Analysis and Design: Fifth Edition, Revised and Expanded. CRC Press, 2003.
J. Elso, M. Gil-Martinez, and M. Garcia-Sanz, “Quantitative feedback control for multivariable model matching and disturbance rejection,” Int. J. Robust Nonlinear Control, vol. 27, no. 1, pp. 121–134, Enero 2017.
C. H. Houpis, S. J. Rasmussen, and M. Garcia-Sanz, Quantitative feedback theory: fundamentals and applications. CRC Press, 2005.
M. Gil-Martínez and M. García-Sanz, “Simultaneous meeting of robust control specifications in QFT,” Int. J. Robust Nonlinear Control, vol. 13, no. 7, pp. 643–656, 2003.
Y. Chait and O. Yaniv, “Multi-input/single-output computer-aided control design using the quantitative feedback theory,” Int. J. Robust Nonlinear Control, vol. 3, no. 1, pp. 47–54, Enero 1993.