信息与控制2016，Vol.45Issue(6)：653-659,7.DOI:10.13976/j.cnki.xk.2016.0653
一种面向输入输出故障的变结构模型预测控制方法
Model Predictive Control Method with Variable Structure to Input-output Faults
摘要
Abstract
Input actuator faults and output measurement device faults always lead to poor control performance of model predictive control (MPC).By analysis of the steady-state relationship between input and output,we propose an improved MPC method with variable structure,which removes the faulty input or output variables from the controller.Some high-priority output set points need to be recalculated to meet the control requirements,due to the reduction of input degree caused by the variable structure.The output fault variable structure control used the dynamic matrix control (DMC) algorithm,which ensures integrated input steady-state targets and prevents the system from being influenced by output sensor faults.Simulation results of Shell heavy oil fractionator benchmarks validated the effectiveness of the proposed method.关键词
动态矩阵控制/变结构控制/输出优先级/输入稳态目标跟踪Key words
dynamic matrix control/variable structure control/output priority/input steady state target tracking分类
信息技术与安全科学引用本文复制引用
杜德伟,邹涛,李永民,苑明哲,汪志勇..一种面向输入输出故障的变结构模型预测控制方法[J].信息与控制,2016,45(6):653-659,7.基金项目
国家863计划资助项目(2014AA041802) （2014AA041802）
国家自然科学基金资助项目(61374112,61533015,61503371) （61374112,61533015,61503371）
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）
