Design of an Interval Fuzzy Type-2- PID Controller for a Gas Turbine Power Plant
Keywords:
Interval type-2 fuzzy PID, heavy duty gas turbine power plant, Rowen’s model, Social spider optimization (SSO).Abstract
In this paper, an interval fuzzy type-2 PID controllers are designed for speed and Exhaust temperature in a heavy duty Gas Turbine (HDGT) power plant and the model selected is Rowen’s model to present the mechanical behavior of the gas turbine, the work is aimed to improve the system dynamic performance of speed and Exhaust temperature for a 56.6 MW, 50 HZ, simple cycle, single shaft heavy duty gas turbine, all gains for conventional PID and interval fuzzy type-2 PID are tuned using Social Spider Optimization(SSO) technique, we show the performance improvement for interval fuzzy type -2 PID controller in comparison with conventional PID via simulation.
References
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[2] W. I. Rowen, “Simplified mathematical representations of single shaft gas turbines in mechanical drive service,” Turbo machinery Int., pp. 26–32, 1992.
[3] L. N. Hannett and A. Khan, “Combustion turbine dynamic model validation from tests,” IEEE Trans. Power Syst., vol. 8, pp. 152–158, Feb. 1993.
[4] J. M. Mendel, R. I. John and F. Liu, "Interval Type-2 Fuzzy logic. Systems Made Simple", IEEE Transactions on Fuzzy Systems, PP. 808-821, 2006.
[5]Wu, D. and J. M. Mendel, “Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons”, Information Sciences, Vol. 21, PP. 80-90, 2013.
[6] Q. Liang and J. M. Mendel, "Interval Type-2 Fuzzy Logic Systems Theory and Design", IEEE Transactions on Fuzzy Systems, PP. 535–550, 2000.
[7]Wu, D., "Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons", IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 21, NO. 1, FEBRUARY 2013.
[8] J. Huang, M. RI, D. Wu" Interval Type-2 Fuzzy Logic Modeling and Control of a Mobile Two-Wheeled Inverted Pendulum" IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. XX, NO. XX, 2017.
[9] A. A. Ewees, M.A. El Aziz, and M. Elhoseny" Social-Spider Optimization Algorithm for Improving ANFIS to Predict Biochar Yield"8th ICCCNT 2017, July 3-5, 2017, IIT Delhi.
[10] M. R. B. Tavakoli, B. Vahidi and W. Gawlik, “An educational guide to extract the parameters of heavy duty gas turbines model in dynamic studies based on operational data,” IEEE Trans. On Power Systems, vol. 24, no. 3, pp. 885-895, Aug. 2009.
[11] F. Jurado, M. Ortega, A. Cano, and J. Carpio, “Neuro-fuzzy controller for gas turbine in biomass-based electric power plant,” Electric Power Systems Research Journal , vol. 60, no. 3, pp. 123-135, Jan. 2002.
[12] S. Kiat. Yee, J. V. Milanovic and F. M. Hughes, “Overview and comparative analysis of gas turbine models for system stability studies,” IEEE. Trans. On Power Syst., vol. 23, no. 1, pp. 885-895, Feb. 2008.
[13] "Recommended Practice for Excitation System Models for Power System Stability Studies; "IEEE Standard 421.5-1992; August; 1992.
[14] J. N. Rail and A. Singh “Combined Cycle Gas Turbine and Generator Matching Performance" 1st IEEE International Conference on Power Electronics. Intelligent Control and Energy Systems (ICPEICES-2016).
[15] Costillo O, Melin P. Type-2 fuzzy logic theory and applications. Berlin: Spring- Verlag; 2008.
[16] J. M. Mendel, R. I. John and F. Liu, "Interval Type-2 Fuzzy logic .Systems ……Made Simple", IEEE Transactions on Fuzzy Systems, PP. 808-821, 2006.
[17] M. Y. Hassan and G. Kothapalli, "Interval Type-2 Fuzzy Position Control of Electro-hydraulic Actuated Robotic Excavator", International Journal of Mining Science and Technology, Vol. 22 ,No.5 PP. 437–445, 2012.
[18] H. Ying, "Fuzzy Control and Modeling, Analytical Foundations and ….….Applications", Institute of Electrical and Electronic Engineers Inc., USA, 2000.
[19]Wu, D. and J. M. Mendel, “Approaches for Reducing the Computational ……..Cost of Interval Type-2 Fuzzy Logic Systems: Overview and ……..Comparisons”, Information Sciences, Vol. 21, PP. 80-90, 2013.
[20] J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Upper Saddle River, NJ: Prentice-Hall, 2001.
[2] W. I. Rowen, “Simplified mathematical representations of single shaft gas turbines in mechanical drive service,” Turbo machinery Int., pp. 26–32, 1992.
[3] L. N. Hannett and A. Khan, “Combustion turbine dynamic model validation from tests,” IEEE Trans. Power Syst., vol. 8, pp. 152–158, Feb. 1993.
[4] J. M. Mendel, R. I. John and F. Liu, "Interval Type-2 Fuzzy logic. Systems Made Simple", IEEE Transactions on Fuzzy Systems, PP. 808-821, 2006.
[5]Wu, D. and J. M. Mendel, “Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons”, Information Sciences, Vol. 21, PP. 80-90, 2013.
[6] Q. Liang and J. M. Mendel, "Interval Type-2 Fuzzy Logic Systems Theory and Design", IEEE Transactions on Fuzzy Systems, PP. 535–550, 2000.
[7]Wu, D., "Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons", IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 21, NO. 1, FEBRUARY 2013.
[8] J. Huang, M. RI, D. Wu" Interval Type-2 Fuzzy Logic Modeling and Control of a Mobile Two-Wheeled Inverted Pendulum" IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. XX, NO. XX, 2017.
[9] A. A. Ewees, M.A. El Aziz, and M. Elhoseny" Social-Spider Optimization Algorithm for Improving ANFIS to Predict Biochar Yield"8th ICCCNT 2017, July 3-5, 2017, IIT Delhi.
[10] M. R. B. Tavakoli, B. Vahidi and W. Gawlik, “An educational guide to extract the parameters of heavy duty gas turbines model in dynamic studies based on operational data,” IEEE Trans. On Power Systems, vol. 24, no. 3, pp. 885-895, Aug. 2009.
[11] F. Jurado, M. Ortega, A. Cano, and J. Carpio, “Neuro-fuzzy controller for gas turbine in biomass-based electric power plant,” Electric Power Systems Research Journal , vol. 60, no. 3, pp. 123-135, Jan. 2002.
[12] S. Kiat. Yee, J. V. Milanovic and F. M. Hughes, “Overview and comparative analysis of gas turbine models for system stability studies,” IEEE. Trans. On Power Syst., vol. 23, no. 1, pp. 885-895, Feb. 2008.
[13] "Recommended Practice for Excitation System Models for Power System Stability Studies; "IEEE Standard 421.5-1992; August; 1992.
[14] J. N. Rail and A. Singh “Combined Cycle Gas Turbine and Generator Matching Performance" 1st IEEE International Conference on Power Electronics. Intelligent Control and Energy Systems (ICPEICES-2016).
[15] Costillo O, Melin P. Type-2 fuzzy logic theory and applications. Berlin: Spring- Verlag; 2008.
[16] J. M. Mendel, R. I. John and F. Liu, "Interval Type-2 Fuzzy logic .Systems ……Made Simple", IEEE Transactions on Fuzzy Systems, PP. 808-821, 2006.
[17] M. Y. Hassan and G. Kothapalli, "Interval Type-2 Fuzzy Position Control of Electro-hydraulic Actuated Robotic Excavator", International Journal of Mining Science and Technology, Vol. 22 ,No.5 PP. 437–445, 2012.
[18] H. Ying, "Fuzzy Control and Modeling, Analytical Foundations and ….….Applications", Institute of Electrical and Electronic Engineers Inc., USA, 2000.
[19]Wu, D. and J. M. Mendel, “Approaches for Reducing the Computational ……..Cost of Interval Type-2 Fuzzy Logic Systems: Overview and ……..Comparisons”, Information Sciences, Vol. 21, PP. 80-90, 2013.
[20] J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Upper Saddle River, NJ: Prentice-Hall, 2001.
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Published
2018-06-24
How to Cite
A. Oglah, A., & J. Mohammed, A. (2018). Design of an Interval Fuzzy Type-2- PID Controller for a Gas Turbine Power Plant. American Scientific Research Journal for Engineering, Technology, and Sciences, 44(1), 155–169. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/4171
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