Iterative Learning Controller with MPC Learning Strategy Design for CFB Combustion System

摘要：

Operation of a circulating fluidized bed unit (CFB) varies with load command, which introduces high nonlinearity and uncertainties into combustion control system. Usual industrial controllers, e.g. PID controllers, are not able to achieve good performance. An iterative learning controller (ILC) combined with model predictive controller (MPC) based on error transfer model is designed in this paper, intend to improve following ability of ILC controller and promote ability of dealing with uncertainties, such as model mismatch, time varying interference and etc, simulation studies show effectiveness of the controller.

关键词： Circulating fluidized bed combustion control system iterative learning model predictive control

作者: Niu Haiming Xia Ming Huang Huanpao Zhang Hongmin Han Zhongxu

作者单位: Guodianzhishen Control Technology, Co. Ltd. Beijing, P. R. China Guodianzhishen Control Technology, Co. Ltd.Beijing, P. R. China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 229-233

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）