摘要
对于既包含连续生产过程又包含离散事件的混杂系统,尤其是对于带有生产方案切换的实际生产过程,通过在物料平衡模型中引入随机调度方程,从而构造出包含随机调度方程参数变量θ的新型协调模型,然后利用一种不确定模型的协调算法对此模型进行求解,最后,通过仿真研究证实了该方法的有效性和鲁棒性.
For hybrid systems which incorporate both dynamic and discrete event models in process industries, the models of material balance would be changed because of frequent scheme switch. The redundancy degree of the whole sensor network is time variant so that the traditional data reconciliation methods could hardly be used in practical processes. A new approach of data reconciliation for hybrid systems is proposed. For those nodes where the discrete scheduling events might happen, scheduling-equations are established and added to the models. So the new data reconciliation model with parameters of random scheduling-equations could be built. In this way, the model's redundancy is improved, which enhances the solvability of the data reconciliation problem. Then its optimal solution could be obtained by using a reconciliation algorithm with uncertain models. Some simulations of the simplified model for a refinery are given and a comparison is made between the proposed approach and previous researches. The simulations results demonstrate the efficiency and robustness of the proposed method.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2005年第6期1057-1062,共6页
CIESC Journal
基金
国家重点基础研究发展规划项目(2002CB31220304)
国家高技术研究发展计划项目(2003AA412010).~~
关键词
数据校正
不确定模型
混杂系统
Algorithms
Mathematical models
Redundancy
Robustness (control systems)
Scheduling
