摘要
针对复杂工业流程过程的分解协调优化问题,提出一种流程雁阵(PGQ)阵形调整的状态空间模型预测控制算法.根据发生干扰级的PGQ状态预测其上一级PGQ输出,同时调节两级PGQ的操纵子雁位置,提前抑制干扰对多级流程雁阵系统整体优化目标的影响.通过一个化工流程实例仿真,验证了所提出方法的有效性.结果表明,所提出的方法对于流程雁阵阵形的调整具有响应快、耗时短的优点.
To deal with the decomposition and coordination optimization in complex industrial processes,a modified predictive control algorithm based on state space models was proposed in this paper,which could help predict the outputs of the higher layer PGQ based on the states of the PGQ interrupted,and simultaneously adjust the manipulated following goose positions of both PGQs.Consequently,the impact of the interrupted PGQ on optimization targets of the multi-level PGQ systems could be suppressed as soon as possible.As case studies,a chemical process was employed to demonstrate the feasibility and validity of the proposed approach.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2016年第6期943-948,共6页
Journal of Shanghai Jiaotong University
关键词
流程雁阵
分解与协调
阵形调整
状态空间模型
预测控制
process goose queue（PGQ）
decomposition and coordination
formation adjustment
state space model
predictive control
