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Control Strategy for Buck DC/DC Converter Based on Two-dimensional Hybrid Cloud Model

  • Wang, Qing-Yu (School of Electrical Engineering, Guangxi University) ;
  • Gong, Ren-Xi (School of Electrical Engineering, Guangxi University) ;
  • Qin, Li-Wen (School of Electrical Engineering, Guangxi University) ;
  • Feng, Zhao-He (School of Electrical Engineering, Guangxi University)
  • Received : 2015.12.04
  • Accepted : 2016.05.25
  • Published : 2016.11.01

Abstract

In order to adapt the fast dynamic performances of Buck DC/DC converter, and reduce the influence on converter performance owing to uncertain factors such as the disturbances of parameters and load, a control strategy based on two-dimensional hybrid cloud model is proposed. Firstly, two cloud models corresponding to the specific control inputs are determined by maximum determination approach, respectively, and then a control rule decided by the two cloud models is selected by a rule selector, finally, according to the reasoning structure of the rule, the control increment is calculated out by a two-dimensional hybrid cloud decision module. Both the simulation and experiment results show that the strategy can dramatically improve the dynamic performances of the converter, and enhance the adaptive ability to resist the random disturbances, and its control effect is superior to that of the current-mode control.

Keywords

References

  1. Tobias Geyer, Georgios Papafotiou and Manfred Morari, "Hybrid Model Predictive Control of the Step-Down DC/DC Converter," IEEE Trans. Control Systems Technology, vol. 16, no. 6, pp. 1112-1124, NOVE. 2008. https://doi.org/10.1109/TCST.2008.917221
  2. R. Shenbagalakshmi, and T. Sree Renga Raja, "Implementation of Robust Prediction Observer Controller for DC/DC Converter" Journal of Electrical Engineering & Technology, vol. 8, no. 6, pp. 1389-1399, Aug. 2013. https://doi.org/10.5370/JEET.2013.8.6.1389
  3. Mahdi Salimi, and Armin Lotfi Eghlim, "Passivity-Based Control of the DC/DC Buck Converters in High-Power Applications," TENCON 2014-2014 IEEE Region 10 Conference, Bangkok, Thailand, Oct. 2014.
  4. Zeng Jian-wu, Zhang Zhe, and Qiao Wei, "An Interconnection-Damping-Assignment Passivity-Based Controller for a DC/DC Boost Converter with a Constant Power Load," IEEE Industry Applications Society Annual Meeting, Las Vegas, USA, Oct. 2012.
  5. Shuai Ding-xin and Xie Yun-xiang, "Optimal Control of Buck Converter by State Feedback Linearization," 7th World Congress on Intelligent Control and Automation Conference, Chongqing, China, June. 2008.
  6. Shuai Ding-xin, "State feedback exact linearization control of Buck-Boost converter," International Electronics and Application Conference and Exposition (PEAC), Shanghai, China, June. 2014.
  7. Yasuhiro Sugimoto, Toru Sai, Kei Watanabe, and Mikio Abe, "Feedback Loop Analysis and Optimized Compensation Slope of the Current-Mode Buck DC/DC Converter in DCM," IEEE Trans. Circuits and Systems, vol.62, no.1, pp. 311-319, Jun. 2015. https://doi.org/10.1109/TCSI.2014.2358313
  8. N. Kondrath, and M.K. Kazimierczuk, "Control current and relative stability of peak current-mode controlled pulse-width modulated dc-dc converters without slope compensation," IET Power Electronics, vol. 3, no. 6, pp. 936-946, Mar. 2010. https://doi.org/10.1049/iet-pel.2009.0352
  9. Kavitha, Anbukumar, and Uma, Govindarajan, "Resonant Parametric Perturbation Method to Control Chaos in Current Mode Controlled DC/DC Buck- Boost Converter" Journal of Electrical Engineering & Technology, vol. 5, pp. 171-178, Mar. 2010. https://doi.org/10.5370/JEET.2010.5.1.171
  10. Chia-Ling Wei, Chin-Hong Chen, Kuo-Chun Wu, and I-Ting Ko, "Design of an Average-Current-Mode Noninverting Buck-Boost DC/DC Converter With Reduced Switching and Conduction Losses," IEEE Trans. Power Electronics, vol. 27, no. 12, pp. 4934-4943, Dec. 2012. https://doi.org/10.1109/TPEL.2012.2193144
  11. Hidenori Maruta, Masashi Motomura, and Fujio Kurokawa, "An Evaluation Study on Circuit Parameter Conditions of Neural Network Controlled DC/DC Converter," 12th International Conference on Machine Learning and Applications, pp. 249-254, Dec. 2013.
  12. Boumediene, and Allaoua, "Application of a Robust Fuzzy Sliding Mode Controller Synthesis on a Buck- Boost DC-DC Converter Power Supply for an Electric Vehicle Propulsion System," Journal of Electrical Engineering & Technology, vol. 6, no. 1, pp. 67-75, June. 2011. https://doi.org/10.5370/JEET.2011.6.1.067
  13. Li De-yi and Du Yi, Uncertainty of artificial intelligence: Chapman and Hall/CRC, 2007, p. 107-150.
  14. Li De-yi, Shi Xue-mei and Ward P, "Soft inference mechanism based on cloud models," Proc of 1st Int Workshop on Logic Programming and Soft Computing, Bonn, Germany, June. 1996.
  15. Wang Guo-yin, Xu Chang-lin, and Li De-yi, "Generic normal cloud model," Information Sciences, vol.280, no.1, pp. 1-15, Oct. 2014. https://doi.org/10.1016/j.ins.2014.04.051
  16. Li De-yi, Liu Chang-yu, and Gan Wen-yan, "A New Cognitive Model: Cloud Model," International Journal of Intelligent Systems, vol.24, pp. 357-375, 2009. https://doi.org/10.1002/int.20340
  17. Li De-yi, Cheng D W, and Shi Xue-mei, "Uncertainty reasoning based on cloud models in controllers," Journal of Computer Science and Mathematics with Application, vol.35, no.3, pp. 99-123, Apr. 1997.
  18. Jian Qiang Wang, Pei Wang, Jing Wang, Hong-Yu Zhang, and Xiao-Hong Chen, "Atanassov's Interval- Valued Intuitionistic Linguistic Multicriteria Group Decision-Making Method Based on the Trapezium Cloud Mode," IEEE Trans. Fuzzy Systems, vol.23, no.3, pp. 542-554, JUNE. 2015. https://doi.org/10.1109/TFUZZ.2014.2317500
  19. Guo Zhongjie, Wu Longsheng, and Liu Youbao, "Design and implementation of adaptive slope compensation in current mode DC/DC converter," Journal of Semiconductors, vol.31, no.12, pp. 1-7, Dec. 2010.