Model predictive control performance assessment using a prediction error benchmark

摘要：

Model predictive control technology can now be found widely in a variety of applications including petroleum, chemical and papermaking industries. An approach is proposed to decide a benchmark and monitor model predictive control performance on-line. A performance measure based on multi-step prediction error benchmark is shown to be more realistic without the requirement of process models or interactor matrix. A practical on-line monitoring strategy is presented which emphasizes the use of routine operating data plus the order of the interactor matrix to determine when it becomes worthwhile to re-identify the plant dynamics and re-install the model predictive control application.

关键词： Control performance assessment Model predictive control Prediction error benchmark Performance monitoring

作者: Rongjin Zhang Quanling Zhang

作者单位: Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology,Zhejiang University, Hangzhou, China

会议类型: 国际会议

会议名称: 2011 International Symposium on Advanced Control of Industrial Processes(2011工业过程先进控制技术国际研讨会)

会议地点: 杭州

会议语种:英文

页码: 571-574

在线出版日期: 2011-05-01（万方平台首次上网日期，不代表论文的发表时间）