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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 23 | Page No.: 7416-7426
DOI: 10.3923/itj.2013.7416.7426
Research of a Pipeline Air Flow Distribution Control Method
Bingjie Li, Li Wang, Xiaodan Xu, Zhiliang Wang, Bosen Li and Jiwei Liu

Abstract: Aiming at the issue that air is uniformity controlled in a special pipeline flow, With the concentration on the control of a pipeline flow, a model of viscous incompressible fluid turbulence is presented. according to comparing numerical simulation with the measured data verify the mathematical model built with the actual agreement. A new way was presented to transforming distributed parameter models into lumped parameter control system. Based on the control system model above, optimal control of air velocity distribution is researched by application of state feedback linearization control algorithm. The effectiveness of the algorithm is verified by simulation. The results showed that the control algorithm can better control the controlled object. This method has shed some light on the design of pipeline flow control system in the actual system.

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How to cite this article
Bingjie Li, Li Wang, Xiaodan Xu, Zhiliang Wang, Bosen Li and Jiwei Liu, 2013. Research of a Pipeline Air Flow Distribution Control Method. Information Technology Journal, 12: 7416-7426.

Keywords: Air purification and disinfection machine, air flow, nonlinear disrtibuted parmaeter systems and affine nonlinear control systems

REFERENCES
  • Dou, L., 2006. Several Approximate Calculation Method of Distributed Parameter Systems Applied Research. Nanjing University, China, pp: 1-121

  • Guo, B.Z., 2012. Distrbuted papameter system control: Problems, methods and progresses. J. Syst. Sci. Math. Sci., 32: 1526-1541.

  • Li, B.J., J.W. Liu and J.H. Zhao, 2011. Intelligent air speed plane control system based on improved chaos optimization algorithm. J. Central South Univ., 42: 1009-1014.

  • Li, B.J., Z.L. Wang, B.S. Li, P.K. Zhang, J.W. Liu and H. Meng, 2013. Design and implementation of civil administration dedicated nano-TiO2 photocatalytic air antiseptic equipment. J. Eng. Des., 3: 254-259.

  • Li, B.J., J.H. Zhao and X. Wang, 2012. Research on wind field control algorithm in nano photo catalytic air purification and disinfection system. Proceedings of the 3rd International Conference on Digital Manufacturing and Automation, July 31-August 2, 2012, China, pp: 731-735.

  • Liu, B. and W.S. Tang, 2006. Modern Control Theory. 3rd Edn., Machinery Industry Press, China

  • Lu, Q., S.W. Mei and Y.Z. Sun, 2008. Nonlinear Power System Control. 2nd Edn., Tsinghua University Press, China

  • Zha, Z.W., 2006. Partial Differential Equations of Mathematical Physics. Southwest Jiaotong University Press, China

  • Zhong, N.F., 2004. Exact Linearization Method for Nonlinear Systems Inquiry. Nanjing University, China, pp: 1-130

  • Li, C.H. and L.Q. Shi, 2010. The application of fuzzy sliding mode control in the system of local fan speed control. Proceedings of the International Conference on Computer Application and System Modeling, Volume 3, October 22-24, 2010, Taiyuan, China, pp: 375-379.

  • Li, J.F. and J.F. Lv, 2006. Simulation of air flow in a blower. Fluid Mach., 34: 10-13.

  • Li, Y., 2007. PID control algorithm and its application in controling the wind. Huazhong University of Science Technology, China, pp: 1-100.

  • Zhang, F., 2009. Research on optimal control problem linear quadratic. Tianjin University, China, pp: 1-110.

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