摘要
利用开环阶跃响应输入输出数据,对电加热炉的一阶惯性加纯滞后模型参数进行在线辨识,然后根据该参数模型设计系统的线性预报模型,并采用规则法整定PID控制器参数,最后运用仿人智能控制的思想,在过程中对PID参数进行调整.实时控制的试验表明,该算法原理简单,能运用于各类电加热炉系统,并易于在上位机上编程实现,同时它能将动态响应时间、超调量、稳态误差都控制在合理的范围以内.
The algorithm includes following four steps. Firstly, based on the input and output data of the system＇s open-loop step response, identify the parameters of the electric heater＇s first-order plus time delay model on-line; then, design the system＇s linear forecast model, and tune the parameters of the PID controller with some formulae; in the process, apply the method of human -simulated intelligent control to adjust the parameters of the PID controller. The test of the realtime control has proved that the algorithm can be applied on various electric heater systems, and is easy to program on the upper machine, and can control the time of dynamic response, maximum overshoot and error of stable status in a reasonable range.
出处
《江南大学学报（自然科学版）》
CAS
2006年第4期493-496,共4页
Joural of Jiangnan University (Natural Science Edition)
关键词
电加热炉
参数辨识
PID控制
仿人智能控制
electric heater
parameter identification
PID control
human-simulated intelligent control
