基于神经元的模糊自适应PID控制及其应用  

Neuron-Based Fuzzy Self-Adaptation PID Control and its Application

作　　者：刘利[1] 马劲松[1] 李黎[1] 

机构地区：[1]黄河水利委员会黄河水利科学研究院,河南郑州450003

出　　处：《自动化技术与应用》2003年第10期7-9,共3页Techniques of Automation and Applications

摘　　要：调节环节的控制策略设计对自控系统控制效果起着至关重要的作用。基于神经元的模糊自适应PID控制 ,模拟生物神经元的某些结构和功能 ,依据实际系统输入、输出数据、现场操作人员的运行经验和传统的PID控制方法 ,选取不同的权值 ,由计算机能识别且能实现控制算法来完成。这项技术已在河工模型进口流量。To design the controlling tactics for regulating units is utmost essential to the effectiveness of automatic control system.The neuron-based fuzzy self-adaptation PID control technique has been employed to stimulate some structures and functions of living neure,and based on input and output data,operators' experience and traditional PID control method,different weights have been chosen,finally the tailwater level will be indentified and controlled by computers,This technique has been successfully used in the automatic intake discharge and tailwater level systems in hydraulic models.

关 键 词：神经元 模糊自适应PID控制 数学模型 采样周期 模糊权值 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]