摘要
针对锅炉燃烧系统多变量、强耦合、强干扰、大滞后的复杂特性,采用基于状态空间模型的预测控制算法设计多输入多输出预测控制器,以一个控制目标为主,同时协调处理多个控制目标的优化方法,很好地实现了锅炉燃烧控制的三大主要任务,从而为这一复杂系统的过程控制提供了一种新的思路;文中还详细研究了预测控制器关键参数对控制性能的影响规律,据此优选参数,可以获得很好的控制效果。
Aiming at the complex properties of the boiler combustion system, such as multivariables, close coupling, strong disturbances and long-time delay etc, a MIMO model predictive controller based on a state-pace model is designed to realize the three main tasks of the boiler combustion control. To accomplish the multi-objective optimization, one primary objective is mainly optimized and the other two minor is coordinated. The rules are also illustrated how the key parameters of the predictive controller influence the control performance. Choosing optimal parameters based on the rules, the ideal control perforraance can be achieved.
出处
《化工自动化及仪表》
EI
CAS
2006年第2期20-24,共5页
Control and Instruments in Chemical Industry
基金
中科院知识创新工程重大项目(KGCX-SW-15)
关键词
锅炉燃烧系统
状态空间模型
预测控制
关键参数
多目标优化
boiler combustion system
state-space model
predictive control
key parameters
multi-objective optimization
