Combined grey prediction fuzzy control law with application to road tunnel ventilation system
作者： Yunhua Li , Lina Ling , Jiantao Chen
DOI: 10.1016/J.JART.2015.06.009
关键词: Line (geometry) 、 Energy (signal processing) 、 Control engineering 、 Engineering 、 Control (management) 、 Tunnel ventilation 、 Control theory 、 Law 、 Control theory 、 Fuzzy control system 、 Mode (statistics) 、 Fuzzy logic
摘要: Road tunnel ventilation system is of high non-linearity and uncertainty, its exact mathematical model acquired with very difficulty. In order to effectively control road system, a combined grey prediction fuzzy (CGPFC) law proposed in the paper. The output this kind controller formed by combining outputs (GPFC) traditional law. predictor realized discrete GM(1,1) it used predict on line rolling mode. simulation experiment for new be applied are conducted. practical application show that effect method better also cost less energy compared method. All Rights Reserved © 2015 Universidad Nacional Autonoma de Mexico, Centro Ciencias Aplicadas y Desarrollo Tecnologico. This an open access item distributed under Creative Commons CC License BY-NC-ND 4.0.
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J. L. Deng, Introduction to Grey system theory Journal of Grey System. ,vol. 1, pp. 1- 24 ,(1989) , 10.5555/90757.90758
Youshi Zhang, Weidong Jin, A road tunnel longitudinal ventilation control system based on fuzzy-neural network world congress on intelligent control and automation. ,vol. 4, pp. 3570- 3574 ,(2004) , 10.1109/WCICA.2004.1343212
C. Hernández-Rosales, R. Femat, E. Ruiz-Velázquez, G. Solís-Perales, A standard microcontroller based discrete-time PI for controlling the motion of a DC-gearmotor Journal of Applied Research and Technology. ,vol. 3, pp. 44- 52 ,(2005) , 10.22201/ICAT.16656423.2005.3.01.567
Pablo A. López Pérez, Ricardo Aguilar-López, Dynamic nonlinear feedback for temperature control of continuous stirred reactor with complex behavior Journal of Applied Research and Technology. ,vol. 7, pp. 202- 217 ,(2009) , 10.22201/ICAT.16656423.2009.7.02.514
Erdal Kayacan, Baris Ulutas, Okyay Kaynak, Grey system theory-based models in time series prediction Expert Systems With Applications. ,vol. 37, pp. 1784- 1789 ,(2010) , 10.1016/J.ESWA.2009.07.064
Stjepan Bogdan, Bruno Birgmajer, Zdenko Kovačić, Model predictive and fuzzy control of a road tunnel ventilation system Transportation Research Part C-emerging Technologies. ,vol. 16, pp. 574- 592 ,(2008) , 10.1016/J.TRC.2007.11.004
Deng Ju-Long, Control problems of grey systems Systems & Control Letters. ,vol. 1, pp. 288- 294 ,(1982) , 10.1016/S0167-6911(82)80025-X
Chulhyun Cha, Ki-myoung Jung, Youngduck Joo, Jinwon Yun, Control of the road tunnel CO density by a feedforward algorithm Tunnelling and Underground Space Technology. ,vol. 21, pp. 298- ,(2006) , 10.1016/J.TUST.2005.12.155
Yagang Zhang, Yan Xu, Zengping Wang, GM(1,1) grey prediction of Lorenz chaotic system Chaos, Solitons & Fractals. ,vol. 42, pp. 1003- 1009 ,(2009) , 10.1016/J.CHAOS.2009.02.031
Cheng-Chung Lee, Terng-Jou Wan, Chao-Yin Kuo, Chung-Yi Chung, Estimating air quality in a traffic tunnel using a forecasting combination model. Environmental Monitoring and Assessment. ,vol. 112, pp. 327- 345 ,(2006) , 10.1007/S10661-006-1073-X