信息与控制2017，Vol.46Issue(5)：571-578,8.DOI:10.13976/j.cnki.xk.2017.0571
输出慢采样控制系统的多变量预测控制策略
Multi-variable Predictive Control Strategy for a Slow Sampling Output Control System
摘要
Abstract
Given that the periods of slow sampling output channels are not synchronous with the reference period, the model predictive control algorithm is inapplicable to the multi-rate system. To solve this problem, we pro-pose a model identification and model predictive control strategy applied to the multi-rate system. First, in ac-cordance with the different numbers of sampling points in the steady-state time, we propose two methods to es-tablish the unit step response model. Second, we present a model predictive control strategy to solve the asyn-chronicity of the control periods of the slow sampling output channels with the reference period. A characteris-tic of the control strategy is that the actual output value is predicted by the model predictive value of each ref-erence period and the actual forecast error is used to correct the output forecast value. Finally, the control strategy is applied to a typical heavy oil distillation column system. The validity and the application range of the control strategy are verified by setting various slow sampling periods and model mismatch degrees.关键词
多速率控制系统/输出慢采样/模型辨识/模型预测控制Key words
multi-rate control system/slow sampling output/model identification/model predictive control分类
信息技术与安全科学引用本文复制引用
郁洋,张鑫,梁涛,邹涛,胡静涛..输出慢采样控制系统的多变量预测控制策略[J].信息与控制,2017,46(5):571-578,8.基金项目
国家自然科学基金资助项目(61374112,61533015) （61374112,61533015）
国家863计划资助项目(2014AA041804) （2014AA041804）
工信部智能制造综合标准化试验验证项目 （）
中国科学院网络化控制系统重点实验室基金资助项目(WLHKZ2014010) （WLHKZ2014010）
