Performance Diagnosis of MPC with Model-Plant Mismatch

摘要：

Model predictive controllers have been widely applied in refinery and chemical plant. The process model plays an important role in the performance assessment of model predictive control. In this work, a methodology is adopted for the diagnosis of model-plant mismatch (MPM) based on closed-loop operating data in the DMC system. The problem of MPM is transformed into the effectiveness of the model. Also apply statistic inference to detect the occurrence of the mismatch. This measure is successfully illustrated through the implementation in the Wood-Berry tower process with three cases of mismatch and show the feasibility and effectiveness of the method.

关键词： Model predictive control (MPC) Model-Plant Mismatch (MPM) Performance Diagnosis DMC Wood-Berry Tower

作者: Yuhong Wang Xuejian Wang

作者单位: College of Information and Control Engineering, China University of Petroleum, Dongying 257061

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 78-82

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）