化工学报 ›› 2019, Vol. 70 ›› Issue (2): 678-686.DOI: 10.11949/j.issn.0438-1157.20181035
收稿日期:
2018-09-12
修回日期:
2018-10-18
出版日期:
2019-02-05
发布日期:
2019-02-05
通讯作者:
邹志云
作者简介:
<named-content content-type="corresp-name">王志甄</named-content>(1987—),男,博士研究生,工程师,<email>tianlan0370@163.com</email>|邹志云(1965—),男,博士,研究员,<email>zouzhiyun65@163.com</email>
Received:
2018-09-12
Revised:
2018-10-18
Online:
2019-02-05
Published:
2019-02-05
Contact:
Zhiyun ZOU
摘要:
针对pH中和过程这一化工过程系统中的典型非线性对象特点,应用神经网络建模思想和模型预测控制方法,并结合Hammerstein模型特点,研究pH中和过程非线性系统的两种新型模型预测控制手段,分别建立基于神经网络的非线性预测控制系统整体求解策略和基于Hammerstein模型的两步法预测控制策略,并用MATLAB对其进行仿真。控制仿真结果表明,建立的神经网络预测控制策略和非线性Hammerstein模型预测控制均优于传统PID控制方法,具有良好的设定值跟踪效果和抗干扰控制响应,说明这两种控制策略是非线性过程的有效控制方法。
中图分类号:
王志甄, 邹志云. 基于神经网络的pH中和过程非线性预测控制[J]. 化工学报, 2019, 70(2): 678-686.
Zhizhen WANG, Zhiyun ZOU. Nonlinear predictive control strategies of pH neutralization process based on neural networks[J]. CIESC Journal, 2019, 70(2): 678-686.
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