A PID control algorithm for wood drying machine based on RBF neural network

摘要：

The control problem of Wood Vacuum Dehumidifler is very complicated. A PID control method based on RBF neural network algorithm is designed. The controller is based on the conventional PID control,, makes use of the study ability of the nerve network to turning the PID control parameters,and proceeds the simulation research using matlab software.From die simulation results,it is can be shown that Neural Network PID controller have the higher accuracy and stronger adaptability,and can get satisfied control result.

关键词： vacuum dehumidify drier radial basis function neural network PID MA TLAB

作者: long Chen Hong-e Ren

作者单位: Information and Computer Engineering College,Northeast Forestry University,Harbin 150040 Harbin,China

会议类型: 国际会议

会议名称: 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

会议地点: 南京

会议语种:英文

页码: 563-566

在线出版日期: 2010-08-26（万方平台首次上网日期，不代表论文的发表时间）