摘要
常减压装置具有非线性和滞后性,传统的PID控制不能很好解决这一问题,因此提出了预测模糊PID控制方法。选取常减压装置中减压段为主要研究对象,通过在Simulink仿真软件中搭建减压装置的模型并进行仿真,然后将预测模糊PID算法在常减压精馏操作实训装置中实现应用。在实际实验操作中针对微小流量检测难的问题,通过优化操作工艺条件,用非定常流近似等效定常流的方法,精选合适的传感器来检测装置中微小变量参数[1]。由仿真和实验结果可得出与传统PID控制、模糊PID控制相比,预测模糊PID控制系统响应速度更快,达到稳定的时间更短,控制精度更高,抗干扰能力更强,解耦能力也更好[1]。
The atmospheric and vacuum devices are nonlinearity and hysteresis,traditional PID control can not solve this problem very well so a prediction fuzzy PID control method is proposed.The depressurization section of the atmospheric and vacuum devices is chosen as the main object.And model building and simulation by means of the decompression device system are conducted in Simulink.Then,the predictive fuzzy PID algorithm is applied to the atmospheric and vacuum distillation operation training device.In the experiment process,for the problem of difficult detection of small flow,this paper adopts the method of optimizing the operating process conditions,using the unsteady flow to approximate the equivalent steady flow,and selecting suitable sensors to detect the small variable parameters in the device.From the simulation and experimental results,it can be concluded that compared with the traditional PID control and fuzzy PID control,the predictive fuzzy PID control system has faster response,shorter stabilization time,higher control precision,stronger anti-interference ability and better decoupling ability.
作者
王晗
郭奇
孟繁哲
李杰
张世超
WANG Han;GUO Qi;MENG Fan-zhe;LI Jie;ZHANG Shi-chao(Environmental and Chemical Engineering College,Yanshan University,Qinhuangdao 066004,China)
出处
《控制工程》
CSCD
北大核心
2020年第9期1495-1501,共7页
Control Engineering of China
关键词
常减压装置
预测模糊PID控制
微小流量
解耦控制
Atmospheric decompression device
predictive fuzzy PID control
micro-flow
decoupling control
