Application of Fuzzy Neural Network Controller for Cement Rotary Kiln Control System
This paper presents the design and application of fuzzy neural network control system for the rotary cement kiln system. Due to the dynamic characteristics and reaction process parameters are with features of large inertia, pure hysteresis, nonlinearity and strong coupling, the fuzzy neural network controller combining both the advantages of neural network and fuzzy control was applied. The fuzzy neural network is an adaptive control process whose parameters can be adjusted by learning algorithms automatically which is aimed to eliminate the shortcomings of conventional control methods. The main control system structure includes mainly the pressure control loop, the burning zone control loop and the back-end of kiln temperature control loop. Simulation results show the effectiveness of the control scheme with satisfied dynamic performances on response time and overshoot.
Cement rotary kiln Adaptive Fuzzy neural network Controller design
Zeng Tao Xue Zheng Li
School of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang 050018, China
国际会议
沈阳
英文
531-535
2011-11-22（万方平台首次上网日期，不代表论文的发表时间）