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Research/Technical Paper

Fuzzy-PID controller based on variable universe for main steam temperature system

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Pages 21-28 | Received 10 May 2017, Accepted 12 Jun 2018, Published online: 05 Jul 2018

References

  • Aeenmehr, A., and A. Sina. 2011. “Self Tuning PID Controller for Main Steam Temperature in the Power Plant.” 2011 International Conference on Electric and Electronics: 309–315.
  • Benammar, S., A. Khellaf, and K. Mohammedi. 2014. “Contribution to the Modeling and Simulation of Solar Power Tower Plants Using Energy Analysis.” Energy Conversion and Management 78: 923–930. doi:10.1016/j.enconman.2013.08.066.
  • Chen, G., Q. B. Feng, and K. Q. Ding. 2016. “Methods and Systems for High-Temperature Strain Measurement of the Main Steam Pipe of a Boiler of a Power Plant while in Service.” Journal of the Optical Society of Korea 20 (6): 770–777. doi:10.3807/JOSK.2016.20.6.770.
  • Chen, S. H., W. K. Hu, and X. Li. 2012. “Study on the Layered Predictive Control Algorithm for the Main Steam Temperature of Ultra-Supercritical Units.” IEEE International Conference on Industrial Engineering and Engineering Management: 607–611. DOI:10.1097/AAP.0b013e3182680f35.
  • Dong, Z., L. Meng, and P. Han. 2012. “Research on a Modified Smith Predictive Control Scheme of Main Steam Temperature of Circulating Fluidized Bed.” Research Journal of Applied Sciences Engineering & Technology 4 (14): 2216–2221.
  • Gu, J. J., Y. J. Zhang, and D. M. Gao. 2009. “Application of Nonlinear Pid Controller in Main Steam Temperature Control.” 2009 Asia-Pacific Power and Energy Engineering Conference: 1–5.
  • Han, L., and Z. Y. Zhang. 2012. “The Application of Immune Genetic Algorithm in Main Steam Temperature of PID Control of BP Network.” International Conference on Applied Physics and Industrial Engineering 24: 80–86.
  • Hu, W. K., and Y. J. Fang. 2013. “Multimodel Parameters Identification for Main Steam Temperature of Ultra-Supercritical Units Using an Improved Genetic Algorithm.” Journal of Energy Engineering 139 (4): 290–298. doi:10.1061/(ASCE)EY.1943-7897.0000105.
  • Jiang, F. 2012. “Research on Designs of City Temperature Control Systems Based on Particle Swarm Algorithm and Neural Network.” Journal of Convergence Information Technology 7 (16): 484–492. doi:10.4156/jcit.
  • Li, H. X. 1999. “Variable Universe Adaptive Fuzzy Controller.” Science in China: Series E 29 (1): 10–20. doi:10.1007/BF02917053.
  • Li, Y. J., Y. J. Fang, and Q. Li. 2010. “Application of a Neural Network Predictive Control for the Supercritical Main Steam.” 2010 3rd International Conference on Advanced Computer Theory and Engineering: 182–185. DOI:10.1177/1753193409352417.
  • Liu, C. L., and Y. B. Zhang. 2013. “Simulation of Main Steam Temperature Control System Based on Fuzzy PID and Improved Smith Predictor.” 2013 2nd International Conference on Energy and Environmental Protection: 280–285. DOI:10.1037/a0030115.
  • Ma, X. Y. 2017. “Fuzzy PID Temperature Control System for DFB Laser Based on Adaptive Genetic Algorithm.” Journal of Shenyang University of Technology 39 (4): 454–458.
  • Mazalan, N. A., A. A. Malek, M. A. Wahid, and M. Mailah. 2012. “Review of Control Strategies Employing Neural Network for Main Steam Temperature Control in Thermal Power Plant.” Jurnal Teknologi 66 (2): 73–76.
  • Mehrgoo, M., and M. Amidpour. 2017. “Constructal Design and Optimization of a Dual Pressure Heat Recovery Steam Generator.” Energy 124: 87–99. doi:10.1016/j.energy.2017.02.046.
  • Tian, Z. D. 2017. “Main Steam Temperature Control Based on GA-BP Optimized Fuzzy Neural Network.” International Journal of Engineering Systems Modelling and Simulation 9 (3): 150–160. doi:10.1504/IJESMS.2017.085057.
  • Tian, Z. D., S. J. Li, and Y. H. Wang. 2017. “Generalized Predictive PID Control for Main Steam Temperature Based on Improved PSO Algorithm.” Journal of Advanced Computational Intelligence and Intelligent Informatics 21 (3): 507–517. doi:10.20965/jaciii.2017.p0507.
  • Wang, G. L., W. W. Wang, S. H. Chen, X. Zhang, and H. H. Shao. 2015. “Multivariable Constrained Predictive Control of Main Steam Temperature in Ultra-Supercritical Coal-Fired Power Unit.” Journal of the Energy Institute 88 (2): 181–187. doi:10.1016/j.joei.2014.06.003.
  • Wang, H. Y. 2014. “Main Steam Temperature Control System Based on Fuzzy Control Scheme.” Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics: 93–95. DOI:10.1177/1753193412474151.
  • Xi, D. M., L. J. Hu, and Y. C. Gong. “Adaptive Predictor Gain Control of the Main Steam Temperature.” 2012 Int. Conference on Software Engineering, Knowledge Engineering and Information Engineering: 125–130. DOI:10.3315/jdcr.2012.1121.
  • Yu, H. J., Y. He, Z. L. Zhao, and M. Wu. 2016. “Research on Fuzzy PID Pitch-Controlled System Based on SVM.” Journal of Advanced Computational Intelligence and Intelligent Informatics 20 (2): 332–341. doi:10.20965/jaciii.2016.p0332.
  • Yuan, G. L., J. Du, and T. Yu. 2015. “Performance Assessment of Power Plant Main Steam Temperature Control System Based on ADRC Control.” International Journal of Control & Automation 8 (1): 305–316. doi:10.14257/ijca.
  • Zhang, H., W. Lu, J. H. Yang, S. Q. Sheng, and H. B. Guo. 2013. “Multi-Model Switching Predictive Functional Control of Boiler Main Steam Temperature.” Information Technology Journal 12 (3): 391–396. doi:10.3923/itj.2013.391.396.
  • Zhang, L. Y., A. Cao, and Y. X. Du. 2015. “Variable Universe Fuzzy Control for Excitation System of HTS Machine.” Journal of Intelligent & Fuzzy Systems 29 (6): 2457–2465. doi:10.3233/IFS-151946.
  • Zhang, Y., and J. G. Dang. 2016. “Application of PSO-BP Neural Network in Main Steam Temperature Control.” Proceedings of the 28th Chinese Control and Decision Conference: 5607–5611.
  • Zhao, B., and H. Li. 2017. “Temperature Control of Semi-Conductor Laser with PID Parameter Tuning.” Journal of Shenyang University of Technology 39 (4): 444–448.
  • Zhao, L., and X. Guo. 2012. “The Design of Steam Temperature Control System with Fuzzy Neural Network Based on GA.” Second International Conference on Electric Information and Control Engineering: 1710–1713. DOI:10.1021/ar3000376.

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