363
Views
48
CrossRef citations to date
0
Altmetric
Original Articles

Control of Pitch Angle of Wind Turbine by Fuzzy Pid Controller

, , &

References

  • Burton, T., Sharpe, D., Jenkins, N., & Bossanyi, E. (2001). Wind energy handbook. Chichester: John Wiley & Sons.10.1002/0470846062
  • Chen, C. H., Hong, C.-M., & Ou, T.-C. (2012). Hybrid fuzzy control of wind turbine generator by pitch control using RNN. International Journal of Ambient Energy, 33, 56–64. doi:10.1080/01430750.2011.630754.
  • Choi, O.-K., Kim, J., Kim, J., & Lee, J. S. (2015). BIBO stability analysis of TSK Fuzzy PI/PD control systems. Intelligent Automation & Soft Computing, 21(4), 645.
  • Duong, M. Q., Grimaccia, F., Leva, S., Mussetta, M., & Ogliari, E. (2014). Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system. Renewable Energy, 70, 197–203. doi:10.1016/j.renene.2014.03.072.
  • Hemami, A. (2011). Wind turbine technology. New York: Cengage Learning.
  • Hwas, A. M. S, & Katebi, R. (2012). Wind turbine control using PI pitch angle controller. Paper presented at the IFAC Conference on Advances in PID Control PID’12.
  • Idowu, P. (1996). Fuzzy speed regulation of a wind-turbine DC generator. Intelligent Automation & Soft Computing, 2, 27–36.
  • Jelavic, M., Petrovic, V., & Peric, N. (2010). Estimation based individual pitch control of wind turbine. Automatika, 51, 181–192. doi:10.1109/IECON.2008.4757957.
  • Jian-jun, X., Li-mei, Y., Xiao-ning, Q., Chun-lei, J., & Jian-ren, W. (2010). Study of variable-pitch wind turbine based on fuzzy control. Paper presented at the Future Computer and Communication (ICFCC), 2010 2nd International Conference on.
  • Musyafa, A., Harika, A., Negara, I., & Robandi, I. (2010). Pitch angle control of variable low rated speed wind turbine using fuzzy logic controller. International Journal of Engineering & Technology, 10, 21–24.
  • Ponce, P., Molina, A., & MacCleery, B. (2013). Integrated ıntelligent control and fault system for wind generators. Intelligent Automation & Soft Computing, 19, 373–389. doi:10.1080/10798587.2013.778038.
  • Poznyak, A., & Sanchez, E. (1995). Nonlinear system approximation by neural networks: Error stability analysis. Intelligent Automation & Soft Computing, 1, 247–257.
  • Prats, M., Carrasco, J., Galvan, E., Sanchez, J., & Franquelo, L. (2002). A new fuzzy logic controller to improve the captured wind energy in a real 800 kW variable speed-variable pitch wind turbine. Paper presented at the Power Electronics Specialists Conference, 2002. pesc 02. 2002 IEEE 33rd Annual.
  • Qi, J., & Liu, Y. (2010). PID control in adjustable-pitch wind turbine system based on fuzzy control. Paper presented at the Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on.
  • Qi, Y., & Meng, Q. (2012). The application of fuzzy PID control in pitch wind turbine. Energy Procedia, 16, 1635–1641.10.1016/j.egypro.2012.01.254
  • Sato, M., & Sato, Y. (1995). On a general fuzzy additive clustering model. Intelligent Automation & Soft Computing, 1, 439–448.
  • Senjyu, T., Sakamoto, R., Urasaki, N., Higa, H., Uezato, K., & Funabashi, T. (2006). Output power control of wind turbine generator by pitch angle control using minimum variance control. Electrical Engineering in Japan, 154, 10–18. doi:10.1002/eej.20247.
  • Tang, J. (2001). PID controller using the TMS320C31 DSK with online parameter adjustment for real-time DC motor speed and position control. Paper presented at the Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on.
  • Tong, W (2010). Wind power generation and wind turbine design. Boston: WIT press.
  • Viljamaa, P., & Koivo, H. N. (1995). Tuning of a multivariable fuzzy logic controller. Intelligent Automation & Soft Computing, 1, 15–28.
  • Wenjing, Z., & Hongze, X. (2011). Active disturbance rejection based pitch control of variable speed wind turbine. Paper presented at the Control Conference (CCC), 2011 30th Chinese.
  • Yilmaz, A. S., & Özer, Z. (2009). Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks. Expert Systems with Applications, 36, 9767–9775. doi:10.1016/j.eswa.2009.02.014.
  • Zhang, L, Li, H., Chunliang, E., Li, J., & Xu, H. (2008). Pitch control of large scale wind turbine based on fuzzy-PD method. Paper presented at the Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.