The Design of the Resistance-heated Furnace Control Based on BP Network PID Algorithm

摘要：

The resistance-heated furnace control system has bigger lagging nature, so it is difficult to build accurate mathematic model BP neural network has the capability of expression nonlinearity and also has the self study and adaptive function. BP neural network control makes full use of neural network approximation capability, and with better control in resolving the highly nonlinear seriously uncertain systems. Simulated result indicates this control is able to make system reach satisfied control effect, so it has fairly good application value.

关键词： BP neural network temperature control PID parameter tuning

作者: Huaizhong Chen

作者单位: Zhejiang Industry Polytechnic College,Shaoxing,312000,China

会议类型: 国际会议

会议名称: the 2011 International Conference on Key Engineering Materials(ICKEM 2011)(2011关键工程材料国际会议)

会议地点: 三亚

会议语种:英文

页码: 281-285

在线出版日期: 2011-03-25（万方平台首次上网日期，不代表论文的发表时间）