DOI QR코드

DOI QR Code

The Optimal Controller Design of Buck-Boost Converter by using Adaptive Tabu Search Algorithm Based on State-Space Averaging Model

  • Pakdeeto, Jakkrit (Power electronics, Energy, Machines and Control Research Group, School of Electrical Engineering, Suranaree University of Technology) ;
  • Chanpittayagit, Rangsan (Power electronics, Energy, Machines and Control Research Group, School of Electrical Engineering, Suranaree University of Technology) ;
  • Areerak, Kongpan (Power electronics, Energy, Machines and Control Research Group, School of Electrical Engineering, Suranaree University of Technology) ;
  • Areerak, Kongpol (Power electronics, Energy, Machines and Control Research Group, School of Electrical Engineering, Suranaree University of Technology)
  • Received : 2016.06.28
  • Accepted : 2017.02.02
  • Published : 2017.05.01

Abstract

Normally, the artificial intelligence algorithms are widely applied to the optimal controller design. Then, it is expected that the best output performance is achieved. Unfortunately, when resulting controller parameters are implemented by using the practical devices, the output performance cannot be the best as expected. Therefore, the paper presents the optimal controller design using the combination between the state-space averaging model and the adaptive Tabu search algorithm with the new criteria as two penalty conditions to handle the mentioned problem. The buck-boost converter regulated by the cascade PI controllers is used as the example power system. The results show that the output performance is better than those from the conventional design method for both input and load variations. Moreover, it is confirmed that the reported controllers can be implemented using the realistic devices without the limitation and the stable operation is also guaranteed. The results are also validated by the simulation using the topology model of MATLAB and also experimentally verified by the testing rig.

Keywords

References

  1. D. Puangdownreong, K-N. Areerak, A. Srikaew, S. Sujijorn and P. Totarong, "System Identification via Adative Tabu Search," In Proceedings IEEE International Conference on Industrial Technology (ICIT02), 2002, pp. 915-920.
  2. S. Sujitjorn, T. Kulworawanichpong and D. Puangdownreong and K-N Areerak, "Adaptive Tabu Search and Applications in Engineering Design," Book Chapters in Integrated Intelligent Systems for Engineering Design (ed. X. F. Zha and R.J. Howlett), IOS Press, The Netherlands, 2006, pp. 233-257.
  3. D. Puangdownreong, K-N. Areerak, K-L. Areerak, T. Kulworawanichpong, and S. Sujitjorn, "Application of adaptive tabu search to system identification," IASTED International Conference on Modelling, Identification, and Control (MIC2005), Innsbruck, Austria: February 16-18, 2005, pp. 178-183.
  4. T. Kulworawanichpong, K-L. Areerak, K-N. Areerak, P. Pao-la-or, D. Puangdownreong, and S. Sujitjorn, "Dynamic parameter identification of induction motors using intelligent search techniques," IASTED International Conference on Modelling, Identification, and Control (MIC2005), Innsbruck, Austria: February 16-18, 2005, pp. 328-332.
  5. T. Kulworawanichpong, K-L. Areerak, K-N. Areerak, and S. Sujitjorn, "Harmonic Identification for Active Power Filters Via Adaptive Tabu Search Method," LNCS(Lecture Notes in Computer Science), Springer- Verlag Heidelberg, vol. 3215, 2004, pp. 687-694.
  6. K.-N. Areerak, T. Kulworawanichpong and S. Sujitjorn, "Moving Towards a New Era of Intelligent Protection through Digital Relaying in Power Systems," Lecture Notes in Computer Science, Springer-Verlag Heidelberg, vol. 3213, 2004, pp. 1255-1261.
  7. T. Narongrit, K-L. Areerak, and K-N. Areerak, "Design of an Active Power Filter using Genetic Algorithm Technique," The 9th WSEAS International Conference on Artificial Intelligent, Knowledge Engineering and Data Bases (AIKED'10), Cambridge, United Kingdom: February 20-22, 2010, pp. 46-50.
  8. U. Leeton, D. Uthitsunthorn, U. Kwannetr, N. Sinsuphun, T. Kulworawanichpong, "Power loss minimization using optimal power flow based on particle swarm optimization," International Conference on Electrical Engineering / Electronics Computer Telecommunications and Information Technology (ECTI-CON), Chaing Mai: May 19-21, 2010, pp. 440-444.
  9. G. Lirui, H. Limin, Z. Liguo, L. Weina, and H. Jie, "Reactive Power Optimization for sidtribution systems based on Dual Population Ant Colony Optimization," in Proc. 27th Chinese Control Conference (CCC 2008)., China, pp. 89-93.
  10. B. Achiammal, R. Kayalvizhi, "Genetic Algorithm based PI controller for Negative Output Elementary LUO converter," Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference., 2014, pp. 1099-1103.
  11. H. Madadi Kojabadi, Q. Cao, L. Chang, M. Ghribi, A. Dupuis, "Optimal PI controller gains using a multiloop multi-objective genetic algorithm in IM drives," Electrical and Computer Engineering, 2005. Canadian Conference, pp. 470-473.
  12. Xutao Li, Minjie Chen, Y. Tsutomu, "A method of searching PID controller's optimized coefficients for Buck converter using particle swarm optimization," Power Electronics and Drive Systems (PEDS), 2013 IEEE 10th International Conference. pp. 238-243.
  13. E. Sahin, M.S. Ayas, I.H. Altas, "A PSO optimized fractional-order PID controller for a PV system with DC-DC boost converter," Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International, pp. 477-481.
  14. C. Rivetta, G.A. Williamson, and A. Emadi, "Constant Power Loads and Negative Impedance Instability in Sea and Undersea Vehicles Statement of the Problem and Comprehensive Large-Signal Solution," in Proc. IEEE Electric Ship Tech. Symposium., Philadelphia, PA USA, July 2005, pp. 313-320.
  15. C.T. Rim, D.Y. Hu, and G.H. Cho, "Transformers as Equivalent Circuits for Switches: General Proof and D-Q Transformation-Based Analysis," IEEE trans. On Indus. Appl., vol. 26, no. 4, July/August 1990, pp. 777-785. https://doi.org/10.1109/28.56005
  16. K.-N. Areerak, S.V. Bozhko, G.M. Asher, and D.W.P. Thomas, "DQ-Transformation Approach for Modeling and Stability Analysis of AC-DC Power System with Controlled PWM Rectifier and Constant Power Load," 13th International Power Electronics and Motion Control Conference (EPE-PEMC 2008), Poznan, Poland, 1-3 September 2008.
  17. K. Chaijarurnudomrung, K-N. Areerak, and K-L. Areerak, "Modeling of Three-phase Controlled Rectifier using a DQ method," 2010 International Conference on Advances in Energy Engineering (ICAEE 2010), Beijing, China: June 19-20, 2010, pp. 56-59.
  18. J. Mahdavi, A. Emadi, M.D. Bellar, M. Ehsani, "Analysis of Power Electronic Converter Using the Generalized State-Space Averaging Approach," IEEE Trans. On Circuit and System., vol. 44, August 1997, pp. 767-770. https://doi.org/10.1109/81.611275
  19. A. Emadi, "Modeling and Analysis of Multiconverter DC Power Electronic System Using the Generalized State-Space Averaging Method," IEEE Trans. On Indus. Elect., vol. 51, n. 3, June 2004, pp. 661-668. https://doi.org/10.1109/TIE.2004.825339
  20. Ngamkong P., Kochcha P., Areerak K-N, Sujitjorn S. and Areerak K-L., "Application of the generalized state-space averaging method to modeling of DC-DC Power Converters," Mathematical and Computer Modelling of Dynamical Systems, vol. 18, no. 3, June 2012, pp. 243-260. https://doi.org/10.1080/13873954.2011.635377
  21. Rangsan Chanpittayagit, Kongpan Areerak, and Kongpol Areerak (2014). "Modeling of AC-DC Power System Feeding a Controlled Buck-Boost Converter," Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2014 11th International Conference. pp. 1-6.