The Neural Network PID Controller for Cement Rotary Kiln Temperature Based on FPGA

摘要：

In this paper, we discuss a method of using BP neural network to adjust PID parameters online for controlling the cement kiln temperature. First, according to the principle of the rotary kiln temperature, the BP_PID controller is designed in theory, and the neural network trainings and simulations in MATLAB are taken. Secondly, by using the top-down method in VHDL language, the modules of BP_PID controller which is the BP neural network forward transmission module, the error back propagation module, and the weigh and threshold adjustment module and so on are all implemented on FPGA chip. Eventually the simulations of program in Quartu* * * are given in this paper. The simulation results show that this design is reasonable, the hardware implementation is correct, so it can create the conditions for a wide range of applications of hardware intelligent algorithm in the field of industrial.

关键词： BP neural networks PID cement rotary kiln temperature field programmable gate arrays

作者: Yaohua Guo Junshuang Ma Minglin Yao

作者单位: Department of Information Engineering Tangshan College Tangshan ,Hebei Province, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 345-348

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）