非线性时滞系统双阶段神经网络的改进广义预测控制  

Improved Generalized Predictive Control Based on Two-stage Neural Network for Nonlinear Time-delay System

作　　者：周媛奉 陈宽文 胡婷婷 刘朋远 丁海丽 梁飞 王一凡 张腾飞 ZHOU Yuanfeng;CHEN Kuanwen;HU Tingting;LIU Pengyuan;DING Haili;LIANG Fei;WANG Yifan;ZHANG Tengfei(Metrology Center,State Grid Ningxia Marketing Service Center,Yinchuan 750002,China;College of Automation&College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;Jiangsu Yibang Power Technology Co.,Ltd.,Nanjing 210001,China)

机构地区：[1]国网宁夏电力有限公司营销服务中心计量中心,宁夏银川750002 [2]南京邮电大学自动化学院、人工智能学院,江苏南京210023 [3]江苏益邦电力科技有限公司,江苏南京210001

出　　处：《控制工程》2024年第3期567-576,共10页Control Engineering of China

基　　金：国家自然科学基金资助项目(62073173,61833011)。

摘　　要：针对一类工业控制系统中存在的非线性、大时滞等情况,提出一种基于双阶段神经网络的改进隐式广义预测控制方法。首先,设计了一种基于快速回归算法和蝙蝠算法的双阶段神经网络模型,用于对非线性时滞系统进行建模,避免非线性系统下的模型失配问题;其次,采用比例积分(proportional integration, PI)结构优化广义预测控制目标函数设计,提高隐式广义预测控制性能;同时,改进控制增量选取策略,利用所预测的未来控制增量修正当前时刻控制增量;最后,将所设计的预测模型和预测控制方法应用于一个数值案例和锅炉燃烧系统,验证了所提控制策略的有效性。In view of the nonlinear and large time delay existing in a class of industrial control systems,an improved implicit generalized predictive control method based on two-stage neural network is proposed and applied to the combustion system of gas boiler.Firstly,a two-stage neural network model establishment method based on fast regression and bat algorithm is designed to model the non-linear time-delay system to avoid model mismatch in the non-linear system.Then,in order to improve the control performance of implicit generalized predictive control,the objective function of the generalized predictive control is optimized by combining the proportional integration(PI)idea and adopting the proportional integration structure.At the same time,the control increment selection strategy of generalized predictive control is improved,and the control increment at the current time is corrected by using the predicted future time control increment to optimize the control effect.Finally,a class of nonlinear time-delay systems and boiler combustion systems are tracked and controlled by simulation.The experimental results show that the designed predictive model and control method are superior and practical.

关 键 词：非线性系统 时滞 双阶段神经网络 PI控制 广义预测控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]