Performance monitoring of a data-driven subspace predictive controller based on historical objective function benchmark

摘要：

This paper discusses data-driven subspace predictive control and control performance monitoring based on the historical objective function benchmark. A data-driven subspace model predictive control method is used to design the controller. No prior knowledge of model structure and system rank but the I/O data of an open-loop test are required. Then we propose a new criterion for the selection of the historical data, which is used to monitoring the controller’s performance instead of the traditional method based on prior knowledge. The proposed algorithms are illustrated through a distillation column simulation example.

关键词： data-driven subspace identification model predictive control performance monitoring historical objective function benchmark

作者: WANG Lu LI Ning LI Shaoyuan

作者单位: Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Inform Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Inform

会议类型: 国内会议

会议名称: 第23届过程控制会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）