Abstract
A new point of view on nonlinear dynamics prediction with respect to pulse-energy converters is proposed. The technological sequence required for the prediction is considered by the example of a dc-dc buck converter.
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De Gooijer, J.G. and Hyndman, R.J., 25 years of time series forecasting (a review), Int. J. Forecasting, 2006, vol. 22, pp. 443–473.
Jelali, M., An overview of control performance assessment technology and industrial applications, Control Eng. Practice, 2006, vol. 14, pp. 441–466.
Timmermann, A., Elusive return predictability, Int. J. Forecasting, 2008, vol. 24, pp. 1–18.
Yalta, T.A. and Ojenal, O., On the importance of verifying forecasting results, Int. J. Forecasting, 2009, vol. 25.
Gandhi, A., Corrigan, T., and Parsa, L., Recent advances in modeling and online detection of stator interturn faults in electrical motors (a review), IEEE Trans. Industr. Electron., 2011, vol. 58, pp. 1564–1575.
Kolokolov, Yu. and Monovskaya, A., Fractal approach, bifurcation poker and SUC-logic for nonlinear dynamics forecasting, Int. J. Bifurcation Chaos, 2013, vol. 23, no. 12.
Feigin, M.I. and Kagan, M.A., Emergencies as a manifestation of the effect of bifurcation memory in controlled unstable systems, Int. J. Bifurcation Chaos, 2004, vol. 14, no. 7.
Yu, D., Iu, H.H.C., Chen, E., Rodriguez, E., Alarcon, E., and El Aroudi, A., Instabilities in digitally controlled voltage-mode synchronous buck converter, Int. J. Bifurcation Chaos, 2012, vol. 22, no. 1.
Kolokolov, Yu.V. and Monovskaya, A.V., Stability-margin adjustment of the basis of trials for PWM converters, Russ. Electrical Eng., 2013, vol. 84, no. 3.
Kolokolov, Yu.V. and Monovskaya, A.V., Estimating the uncertainty of the behavior of a PWM power converter by analyzing a set of.experimental bifurcation diagrams, Int. J. Bifurcation Chaos, 2013, vol. 23, no. 4.
Kolokolov, Yu.V., Monovskaya, A.V., and Adjallah, K.H., PWM energy converters: fractal method of dynamics forecasting in practical application, IEEE Trans. Energy Convers., 2009, vol. 24, no. 2.
Najim, M., Modeling, Estimation and Optimal Filtering in Signal Processing, Wiley-ISTE, 2008.
Chen, G., Hsu, S.B., Huang, Yu., and Roque-Sol, M.A., The spectrum of chaotic time series (I): Fourier analysis, Int. J. Bifurcation Chaos, 2011, vol. 21, no. 5.
Chen, G., Hsu, S.B., Huang, Yu., and Roque-Sol, M.A., The spectrum of chaotic time series (II): wavelet analysis, Int. J. Bifurcation Chaos, 2011, vol. 21, no. 5.
Kolokolov, Yu. and Monovskaya, A., Detection of initiation of a bifurcation phenomenon in the dynamics of a PWM converter, Russ. Electr. Eng., 2013, vol. 84, no. 1.
Monti, A. and Poinci, F., Uncertainty evaluation under dynamic conditions using polynomial chaos theory, IEEE. Trans. Instrum. Measur., 2010, vol. 59, no. 11.
Kolokolov, Yu.V. and Monovskaya, A.V., Environmental safety of pulse energy conversion, Proc. 7th IEEE Int. Conf. on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Application, Berlin, Sept. 12–14, 2013.
Proske, D., Catalogue of Risks — Natural, Technical, Social and Health Risks, Springer, 2007.
Kolokolov, Yu.V. and Monovskaya, A.V., Computational researches: reasoning on evolution of technical and biological systems, Proc. 7th IEEE Int. Conf. on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Application, Berlin, Sept. 12–14, 2013.
Kolokolov, Yu.V. and Monovskaya, A.V., From modifications of experimental bifurcation diagrams to operating process stability margin, Int. J. Bifurcation Chaos, 2013, vol. 23, no. 7.
Cao, Q., Xu, L., Djidjeli, K., Price, W.G., and Twizell, E.H., Analysis of period-doubling and chaos of a non-symmetric oscillator with piecewise-linearity, Chaos, Solitons Fractals, 2001, vol. 12, no. 10, pp. 1917–1927.
Zhou, G., Xu, J., and Bao, B., Symmetrical dynamics of current-mode controlled switching dc-dc converters, Inf. J. Bifurcation Chaos, 2012, vol. 22, no. 1.
Berge, P., Pomeau, Y., and Vidal, Ch., Order within Chaos: towards a Deterministic Approach to Turbulence Paris: Willey, 1986.
Kolokolov, Yu.V. and Monovskaya, A.V., Analysis of experimental bifurcation diagrams and physical essence of the “operating process stability margin” concept, Russ. Electr. Eng., 2013, vol. 84, no. 7.
Giaouris, D., Maity, S., Banerjee, S., Pickert, V., and Zahawi, B., Application of Filippov method for the analysis of subharmonic instability in dc-dc converters, Int. J. Cicruit Theory Appl., 2009, vol. 37, no. 8.
Rashid, M.H., Power Electronics Handbook, Acad. Press, 2001.
Erickson, R.W. and Maksimovich, D., Fundamentals of Power Electronics, Springer Sci. + Busin. Media, 2001.
Kolokolov, Yu.V. and Monovskaya, A.V., Prediction problems in pulse energy transforming systems, Inf. Sistemy Tekhno., 2012, no. 3.
Lehman, B. and Bass, R.M., Switching frequency dependent averaged models for PWM DC-DC converters, IEEE Trans. Power Electron., 1996, vol. 11, no. 1.
Meleshin, V.I., The way to produce continuous linear model of power part of pulse transducer as a first stage for designing its dynamical properties, Elektrichestvo, 2002, no. 10.
Polyak, B.T. and Shcherbakov, P.S., Robastnaya ustoichivost’ i upravlenie (Robust Stability and Control), Moscow: Nauka, 2002.
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Original Russian Text © Yu.V. Kolokolov, A.V. Monovskaya, 2014, published in Elektrotekhnika, 2014, No. 6, pp. 51–56.
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Kolokolov, Y.V., Monovskaya, A.V. Implementation of the real-time nonlinear dynamics prediction: Experimental research on location. Russ. Electr. Engin. 85, 389–394 (2014). https://doi.org/10.3103/S1068371214060078
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DOI: https://doi.org/10.3103/S1068371214060078