Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 684094, 7 pages
http://dx.doi.org/10.1155/2015/684094
Research Article

Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers

1Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan
2Mechanical Engineering Department, Southern Taiwan University of Science and Technology, Tainan City, Taiwan

Received 22 August 2014; Accepted 30 September 2014

Academic Editor: Stephen D. Prior

Copyright © 2015 Juing-Shian Chiou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. E. Eiben and J. E. Smith, Introduction to Evolutionary Computing, Springer, New York, NY, USA, 2003. View at Publisher · View at Google Scholar · View at MathSciNet
  2. J. Kennedy and R. C. Eberhart, “Particle swarm optimization,” in Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948, 1995.
  3. C.-F. Juang, “A hybrid of genetic algorithm and particle swarm optimization for recurrent network design,” IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics, vol. 34, no. 2, pp. 997–1006, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. L.-l. Li, L. Wang, and L.-h. Liu, “An effective hybrid PSOSA strategy for optimization and its application to parameter estimation,” Applied Mathematics and Computation, vol. 179, no. 1, pp. 135–146, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  5. B. Niu and L. Li, “A novel PSO-DE-based hybrid algorithm for global optimization,” in Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, vol. 5227 of Lecture Notes in Computer Science, pp. 156–163, Springer, Berlin, Germany, 2008. View at Publisher · View at Google Scholar
  6. S. Mirjalili and S. Z. M. Hashim, “A new hybrid PSOGSA algorithm for function optimization,” in Proceedings of the International Conference on Computer and Information Application (ICCIA '10), pp. 374–377, Tianjin, China, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. M. I. Menhas, M. R. Fei, L. Wang, and X. Fu, “A novel hybrid binary PSO algorithm,” in Advances in Swarm Intelligence, vol. 6728 of Lecture Notes in Computer Science, pp. 93–100, 2011. View at Google Scholar
  8. A. Ghodrati and S. Lotfi, “A hybrid CS/PSO algorithm for global optimization,” in Intelligent Information and Database Systems, vol. 7198 of Lecture Notes in Computer Science, pp. 89–98, Springer, Berlin, Germany, 2012. View at Publisher · View at Google Scholar
  9. A. A. A. Esmin and S. Matwin, “HPSOM: a hybrid particle swarm optimization algorithm with genetic mutation,” International Journal of Innovative Computing, Information and Control, vol. 9, no. 5, pp. 1919–1934, 2013. View at Google Scholar · View at Scopus
  10. Z.-Y. Zhao, M. Tomizuka, and S. Isaka, “Fuzzy gain scheduling of PID controllers,” IEEE Transactions on Systems, Man and Cybernetics, vol. 23, no. 5, pp. 1392–1398, 1993. View at Publisher · View at Google Scholar · View at Scopus
  11. J.-S. Chiou and M.-T. Liu, “Numerical simulation for fuzzy-PID controllers and helping EP reproduction with PSO hybrid algorithm,” Simulation Modelling Practice and Theory, vol. 17, no. 10, pp. 1555–1565, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. E. N. Sanchez, H. M. Becerra, and C. M. Velez, “Combining fuzzy, PID and regulation control for an autonomous mini-helicopter,” Information Sciences, vol. 177, no. 10, pp. 1999–2022, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. R. E. Precup and S. Preitl, “PI-fuzzy controllers for integral plants to ensure robust stability,” Information Sciences, vol. 177, no. 20, pp. 4410–4429, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  14. X. Guo, Y. Zhou, and D. Gong, “Optimization of fuzzy sets of fuzzy control system based on hierarchical genetic algorithms,” in Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology (TENCON '02), 2002.
  15. F. G. Martins, “Tuning PID controllers using the ITAE criterion,” International Journal of Engineering Education, vol. 21, no. 5, pp. 867–873, 2005. View at Google Scholar · View at Scopus
  16. J.-S. Chiou, H.-K. Tran, and S.-T. Peng, “Attitude control of a single tilt tri-rotor UAV SYSTEM: dynamic modeling and each channel's nonlinear controllers design,” Mathematical Problems in Engineering, vol. 2013, Article ID 275905, 6 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Z. Feng, J. Li, and F. Yu, “GA-Based PID and Fuzzy logic control for active vehicle suspension system,” International Journal of Automotive Technology, vol. 4, no. 4, pp. 181–191, 2003. View at Google Scholar · View at Scopus
  18. Y.-T. Juang, Y.-T. Chang, and C.-P. Huang, “Design of fuzzy PID controllers using modified triangular membership functions,” Information Sciences, vol. 178, no. 5, pp. 1325–1333, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  19. M. Clerc, “The swarm and the queen: towards a deterministic and adaptive particle swarm optimization,” in Proceedings of the Congress on Evolutionary Computation (CEC '99), pp. 1951–1957, Washington, DC, USA, July 1999. View at Publisher · View at Google Scholar · View at Scopus
  20. R. C. Eberhart and Y. Shi, “Comparing inertia weights and constriction factors in particle swarm optimization,” in Proceedings of the IEEE Congress on Evolutionary Computation, pp. 84–88, San Diego, Calif, USA, July 2000. View at Scopus
  21. B. L. Stevens and F. L. Lewis, Aircraft Control and Simulation, John Wiley & Sons, New York, NY, USA, 1992.
  22. G. D. Padfield, Helicopter Flight Dynamics: The Theory and Application of Flying Qualities and Simulation Modeling, American Institute of Aeronautics and Astronautics, 1996.
  23. S. Yoon, S. J. Lee, B. Lee, C. J. Kim, Y. J. Lee, and S. Sung, “Design and flight test of a small tri-rotor unmanned vehicle with a LQR based onboard attitude control system,” International Journal of Innovative Computing, Information and Control, vol. 9, no. 6, pp. 2347–2360, 2013. View at Google Scholar · View at Scopus