APPLICATION OF ARTIFICIAL BEE COLONY ALGORITHM TO AUTO-TUNING OF STATE FEEDBACK CONTROLLER FOR DC-DC POWER CONVERTER

Tomasz Tarczewski; Łukasz J. Niewiara; Lech M. Grzesiak

doi:10.5277/ped160205

Abstract

The article presents an auto-tuning method of state feedback voltage controller for DC-DC power converter. The penalty matrices employed for calculation of controller’s coefficients were obtained by using nature-inspired artificial bee colony (ABC) optimization algorithm. This overcomes the main drawback of state feedback control related to time-consuming trial-and-error tuning procedure. The optimization algorithm takes into account constraints of selected state and control variables of DC-DC power converter. In order to meet all control objectives (i.e., fast voltage response and chattering-free control signal) an appropriate performance index is proposed. Proper selection of state feedback controller (SFC) coefficients is proven by simulation and experimental tests of DC-DC power converter.

References

[1] LINARES-FLORES J., SIRA-RAMIREZ H., DC motor velocity control through a DC-to-DC power converter, Proc. of IEEE Decision and Control Conf. CDC, 2004, 5, 5297-5302.10.1109/CDC.2004.1429649
Search in Google Scholar Back to article
[2] TARCZEWSKI T., NIEWIARA Ł., GRZESIAK L.M., Torque ripple minimization for PMSM using voltage matching circuit and neural network based adaptive state feedback control, Proc. of IEEE EPE 14-ECCE Conf., 2014, 1-10. 10.1109/EPE.2014.6911041
Search in Google Scholar Back to article
[3] FANG J., LI W., Li H., XU X., Online inverter fault diagnosis of Buck-Converter BLDC motor combinations, IEEE Trans. Power Electronics, 2015, 30, 5, 2674-2688. 10.1109/TPEL.2014.2330420
Search in Google Scholar Back to article
[4] FENG G., MEYER E., LIU Y.F., A new digital control algorithm to achieve optimal dynamic performance in DC-to-DC converters, IEEE Trans. Power Electronics, 2007, 22, 4, 1489-1498. 10.1109/TPEL.2007.900605
Open DOI Search in Google Scholar Back to article
[5] LING R., MAKSIMOVIC D., LEYVA R., Second-order sliding-mode controlled synchronous buck DCDC converter, IEEE Trans. Power Electronics, 2016, 31, 3, 2539-2549. 10.1109/TPEL.2015.2431193
Open DOI Search in Google Scholar Back to article
[6] TARCZEWSKI T., GRZESIAK L., Constrained state feedback speed control of PMSM based on model predictive approach, IEEE Trans. Industrial Electronics, 2016, 63, 6, 3867-3875. 10.1109/TIE.2015.2497302
Open DOI Search in Google Scholar Back to article
[7] TARCZEWSKI T., NIEWIARA Ł., GRZESIAK L.M., Constrained state feedback control of DC-DC power converter based on model predictive approach, Proc. of IEEE EFEA Conf., 2016, 1-6. 10.1109/EFEA.2016.7748814
Search in Google Scholar Back to article
[8] SAFONOV M.G., ATHANS M., Gain and phase margin for multiloop LQG regulators, IEEE Trans. Automatic Control, 1977, 22, 2, 173-179. 10.1109/TAC.1977.1101470
Search in Google Scholar Back to article
[9] ROBANDI I., NISHIMORI K., NISHIMURA R., ISHIHARA N., Optimal feedback control design using genetic algorithm in multimachine power system, International Journal of Electrical Power and Energy Systems, 2001, 23, 4, 263-271. 10.1016/S0142-0615(00)00062-4
Search in Google Scholar Back to article
[10] UFNALSKI B., GRZESIAK L.M., Particle swarm optimization of artificial neural-network-based online trained speed controller for battery electric vehicle, Bulletin of the Polish Academy of Sciences: Technical Sciences, 2012, 60, 3, 661-667. 10.2478/v10175-012-0059-9
Search in Google Scholar Back to article
[11] KAMIŃSKI M., Design of adaptive state space controller for two-mass system using BAT algorithm, Proc. of SENE Conf. 2015, (in Polish).
Search in Google Scholar Back to article
[12] KARABOGA D., BASTURK B., A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm, Journal of Global Optimization, 2007, 39, 3, 459-471. 10.1007/s10898-007-9149-x
Open DOI Search in Google Scholar Back to article
[13] KARABOGA D., BASTURK B., On the performance of artificial bee colony (ABC) algorithm, Applied Soft Computing, 2008, 8, 1, 687-697. 10.1016/j.asoc.2007.05.007
Open DOI Search in Google Scholar Back to article
[14] SIRA-RAMIREZ H., SILVA-ORTIGOZA R., Control Design Techniques in Power Electronics Devices, Springer-Verlag, London, 2006.
Search in Google Scholar Back to article
[15] GRZESIAK L.M., TARCZEWSKI T., PMSM servo-drive control system with a state feedback and a load torque feedforward compensation, COMPEL, 2013, 32, 1, 364-382. 10.1108/03321641311293939
Search in Google Scholar Back to article
[16] KARABOGA D., AKAY B., A modified artificial bee colony (ABC) algorithm for constrained optimization problems, Applied Soft Computing, 2011, 11, 3, 3021-3031. 10.1016/j.asoc.2010.12.001
Open DOI Search in Google Scholar Back to article
[17] GOLDBERG D.E., DEB K., A comparison of selection schemes used in genetic algorithms, Foundations of Genetic Algorithms, 1991, 69-93. 10.1016/B978-0-08-050684-5.50008-2
Search in Google Scholar Back to article
[18] KARABOGA D., BASTURK, B., Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems, International Fuzzy Systems Association World Congress, 2007, 789-798. 10.1007/978-3-540-72950-1_77
Search in Google Scholar Back to article

APPLICATION OF ARTIFICIAL BEE COLONY ALGORITHM TO AUTO-TUNING OF STATE FEEDBACK CONTROLLER FOR DC-DC POWER CONVERTER

Abstract

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