The Design of Kiln Liquid Level Control System with Long Time-Delay

Abstract:

In the glass production industry, kiln glass liquid level control system is an important link. And the controlled object of liquid level control system often has the characteristics of nonlinear, time-varying and long time-delay. For this kind of complex control system, the parameters of the PID controller are difficult to be set and it is difficult to obtain the expected control effect. This paper puts forward combining fuzzy controller and Smith predictor, expounds the complementary action between Smith predictor controller and fuzzy controller. Finally according to the characteristics of the glass kiln liquid level fluctuation and the actual situation, the reasonable glass kiln liquid level automatic control scheme is designed. Using Simulink tool in MATLAB to do the simulation for the system and through the analysis of simulation results, this control system can achieve good control effect.

• Periodical: Advanced Materials Research (Volume 1037)
• Pages: 208-211
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1037.208
• Online since: October 2014
• Authors: Pan Ai*, Hong Sheng Li
• Keywords: Fuzzy Control, Kiln Liquid Level Control, Long Time-Delay, Smith Predictor

References

[1] Yang Qingyu, and Ju Lincang, A nonlinear PID control algorithm and its application in the control of the glass furnace level , Industrial Instrumentation & Automation, vol. 28, 2000, pp.72-74.

[2] Jia Fumin, Guo jiren and Li Meng, Research and Practice in the automatic control system of ingredients and glass furnace , Tianjin Institute of Automation Instrumentation, 2005, 6(5), p.680–688.

[3] Wang honghua and Fan guilin, A Control method in the system containing pure delay, Jiangsu University of Technology, vol. 20, 2005, pp: 98-103.

[4] Zhang Guoliang, Zeng Jing and Ke Xizheng, Fuzzy Control and MATLAB Applications", Journal of Xi, an Jiaotong university , 2002, 6(5), p.680–688.

[5] Chen Yiyang and Qi Wei, Design and Simulation of Fuzzy Smith Intelligent in the temperature controller, Guilin University of Electronic Technology, vol. 20, 2005, pp: 98-103.

[6] Bian Lixiu and Zhao Rihun, Smith Fuzzy self-tuning PID parameters estimated main steam temperature control system, Computer Simulation, vol. 120, 2010, pp: 56-60.

[7] Wang Shanshan, , Experimental Study and Simulation of improved fuzzy Smith control in a large lag system, Chemical Process Equipment, vol. 28, 2011, pp.72-74.