Iterative Learning Control of a Crystallisation Process Using Batch Wise Updated Linearised Models

摘要：

An iterative learning control strategy with batch wise updated linearised models identified using principal component regression (PCR) is proposed in this paper for the supersaturation control of a batch crystallization process. Taking the immediate previous batch as the reference batch, the linearised model relates the deviations in the control profiles with the deviations in the quality variable trajectories between the current and the reference batches. The linearised model is used in calculating the control policy updating for the current batch. Simulation results show that the proposed method can overcome the effect of disturbance and improve the process operation from batch to batch.

关键词： Batch process Crystallisation Iterative learning control Process control Data-driven model

作者: Jie Zhang Jerome Nguyan Zhihua Xiong Julian Morris

作者单位: School of Chemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne NE1 Department of Automation, Tsinghua University, Beijing 10084, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1734-1739

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）