现代电子技术2025，Vol.48Issue(7)：112-118,7.DOI:10.16652/j.issn.1004-373x.2025.07.016
基于改进PID和扩张状态观测器的温度控制算法
Temperature control algorithm based on improved PID and ESO
摘要
Abstract
A temperature control algorithm based on improved PID and extended state observer(ESO)is proposed to reduce temperature control time and errors in the traditional temperature control systems.Firstly,a PID parameter self-adjusting temperature control model combining BP neural network is established,and the input layer of the BP neural network is improved,so that more prior information can be added into the input vector for the training of the BP neural network and reduce system uncertainty.Secondly,the system disturbances are estimated by adding a state observer,compensation is carried out according to the disturbances of the control system,and the effectiveness of the method is verified in simulation experiments.Finally,according to the results of the simulation experiments,the rise time of the system is reduced by 19.7%,its overshoot is reduced by 81.7%,its adjustment time is reduced by 41.7%,and its static error is reduced by 73.0%in comparison with those of the algorithms mentioned in the reference literature.关键词
BP神经网络/PID控制/扩张状态观测器/温度控制/参数自调整/系统扰动Key words
BP neural network/PID control/ESO/temperature control/parameter self-adjusting/system disturbance分类
信息技术与安全科学引用本文复制引用
吴敏,刘莎,翟力欣,田光兆..基于改进PID和扩张状态观测器的温度控制算法[J].现代电子技术,2025,48(7):112-118,7.基金项目
国家自然科学基金项目(52206013) （52206013）
江苏省产学研合作项目(BY20231496) （BY20231496）
常州市第十批科技计划项目(国际科技合作/港澳台科技合作)(CZ20220010) （国际科技合作/港澳台科技合作）
