Adaptive Predictive Control of a High Purity Distillation Column Using Irregularly Sampled Multi-rate Data

摘要：

This work aims at the development of multi-rate adaptive model predictive control (MR-AMPC) based on the fast rate model, which is identified from irregularly sampled multi-rate data. The model is assumed to have output error structure and is parameterized using generalized orthonormal basis filters. The identified model is used to generate intersample estimates of the irregularly sampled outputs and for performing future trajectory predictions in the proposed MRMPC formulation. The effectiveness of the proposed adaptive multi-rate control scheme is demonstrated by conducting simulation studies on a benchmark binary distillation column system1. The results from the simulation reveals that the proposed adaptive multi-rate model predictive control successfully manages transition of the distillation column from moderate purity region to the high purity region where the system exhibits highly nonlinear dynamics.

关键词： Orthonormal basis filters irregularly sampled data multi-rate AMPC Distillation column.

作者: Muddu M. Sachin C. Patwardhan

作者单位: Dept. of Systems and Control Engg., Indian Institute of Technology Bombay, Powai, Mumbai - 400076, I Faculty of Department of Chemical Engg.,Indian Institute of Technology Bombay, Powai, Mumbai - 40007

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: 192-197

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）