Combined grey prediction fuzzy control law with application to road tunnel ventilation system

 

Yunhua Li^a,b*, Lina Ling^b, Jiantao Chen^b

 

^a School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China. *Corresponding author. E-mail address: yhli@buaa.edu.cn

^b School of Automation Science and Engineering, Beihang University, Beijing, China.

 

Abstract

Road tunnel ventilation system is of high non-linearity and uncertainty, and its exact mathematical model is acquired with very difficulty. In order to effectively control road tunnel ventilation system, a combined grey prediction fuzzy control (CGPFC) law is proposed in the paper. The output of this kind of combined controller is formed by combining outputs of the grey prediction fuzzy controller (GPFC) and the traditional fuzzy control law. The grey predictor is realized by discrete GM(1,1) and it is used to predict the system outputs on line in rolling mode. The simulation and experiment for this new fuzzy control law to be applied in road tunnel ventilation system are conducted. The simulation and the practical application show that the effect of this method is better and it also cost less energy compared to the traditional fuzzy control method.

Keywords: Grey prediction; Fuzzy control; Tunnel; Compound control; Ventilation system.

 

DESCARGAR ARTÍCULO EN FORMATO PDF

 

Acknowledgements

This work was supported by the National Key Basic Research Program of China under Grant No. 2014CB046400 and the National Natural Science Foundation of China under Grant No. 51475019, and their financial support is much appreciated.

 

References

Bogdan, S. (2008). Model predictive and fuzzy control of a road tunnel ventilation system. Transportation Research Part C. 16, 574-592.         [ Links ]

Chen, P.H. (1998). Application of fuzzy control to a road tunnel ventilation system. Fuzzy Sets Systems, 100, 9-28.         [ Links ]

Cha, C.H. (2006). Control of the road tunnel CO density by a feed-forward algorithm. Tunn. Undergr. Space Technol., 21, 298.         [ Links ]

Chu, B. (2008). GA-based fuzzy controller design for tunnel ventilation systems. Autom. Constr., 17, 130-136.         [ Links ]

Chen, J.T., & Li, Y.H. (2010). Grey difference model to forecast air pollution in road tunnel. J. Grey Syst., 13, 97-104.         [ Links ]

Chen, J.T., & Li, Y.H. (2011). Short-period forecasting algorithm for air pollution concentration in road tunnel with longitudinal ventilation. Journal of Beijing University of Aeronautics and Astronautics, 37, 114-118.         [ Links ]

Deng, J.L. (1982). Control problems of grey systems. Systems and Control Letters, 1, 288-294.         [ Links ]

Deng, J.L. (1989). Introduction to grey system theory. The Journal of Grey System, 1, 1-24.         [ Links ]

Deng, J.L. (2002). Grey prediction and grey decision. Wuhan, China: Huazhong University of Science and Technology Press.         [ Links ]

Giménez, A.J. (2014). Control system development for a Raman spectrometer using microcontroller. Journal of Applied Research and Technology, 12, 139-144.         [ Links ]

Huang, Y.P., & Huang, C.C. (1996). The integration and application of fuzzy and grey modeling methods. Fuzzy Sets Syst., 78, 107-119.         [ Links ]

Hernández-Rosales, C. (2005). A standard microcontroller based discrete-time PI for controlling the motion of a DC gear motor. Journal of Applied Research and Technology, 1, 44-52.         [ Links ]

Karakas, E. (2003). The control of highway tunnel ventilation using fuzzy logic. Eng Appl Artif Intell., 16, 717-721.         [ Links ]

Kayacan, E., Ulutas, B., & Kaynak, O. (2010). Grey system theory-based models in time series prediction. Expert Systems with Applications, 37, 1784-1789.         [ Links ]

Lee, C.C. (2006). Estimating air quality in a traffic tunnel using a forecasting combination model. Environ Monit Assess, 112, 327-345.         [ Links ]

Lee, C.C. (2007). Modified grey model for estimating traffic tunnel air quality. Environ Monit Assess, 132, 351-364.         [ Links ]

Lian, R.J. (2005). A grey prediction fuzzy controller for constant cutting force in turning. Int. J. Mach. Tools Manuf., 45, 1046-1056.         [ Links ]

Luo, R.C., & Chen, T.M. (2000). Autonomous mobile target tracking system based on grey-fuzzy control algorithm. IEEE Trans. Ind. Electron., 47, 720-931.         [ Links ]

López Pérez, P.A., & Aguilar-López, R. (2009). Dynamic nonlinear feedback for temperature control of continuous stirred reactor with complex behavior. Journal of Applied Research and Technology, 7, 202-217.         [ Links ]

Wang, Y.F. (2002). Predicting stock price using fuzzy grey prediction system. Expert Systems with Applications, 22, 33-38.         [ Links ]

Xie, N.M., & Liu, S.F. (2005). Discrete GM(1,1) and mechanism of grey forecasting model. Systems Engineering Theory and Practice, 1, 93-99.         [ Links ]

Zhang, Y.S., & Jin, W.D. (2004). A road tunnel longitudinal ventilation control based on fuzzy-neural network. Proceedings of the 5th Word Congress on Intelligent Control and Automation, 4, 3570-3574.         [ Links ]

Zhang, Y.G. (2009). GM(1,1) grey prediction of Lorenz chaotic system. Chaos, Solitons and Fractals, 42, 1003-1009.         [ Links ]