Application of Neural Network in Hydraulic PWM Positional Servo System

摘要：

Unknown channel order nonlinear objects or delay systems with the recognition capability for unknown combining with PID control by recurrent neural network forms self-adapting PID control system, which bases on recurrent neural network. The system can control the liquid-operated PWM positional servo system, making it being a certain degree of self-regulation and improving the performance.

关键词： nerve network PWM position servo self-adapting PID

作者: Hu Xuejun Chen Jie

作者单位: Electronic and Information School of Wuhan Institute of Technology, Wuhan 430073, China Electronic and Information School of Wuhan Institute of Technology Wuhan 430073, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 465-467

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）