摘要
在分析模型参考自适应预估控制系统 (MRAPC)的基础上 ,提出了一种改进算法 ,通过将自适应结构中可调增益前移的办法克服原算法在自适应过程中存在滞后的问题。同时还给出了该改进算法的全局收敛性分析结果。这一算法已在大坝电厂 30 0MW机组的主汽温、再热汽温、燃烧及协调等主要控制系统中得到成功应用 ,取得了良好的控制效果。
Based on the analysis of the model reference adaptive predictive control system (MRAPC), an improved adaptive algorithm is proposed in this paper to overcome the influence of time delays on the behavior of the adaptive algorithm by moving the controllable gain ahead in adaptive structure. The global convergence analysis of the adaptive algorithm is provided, too. This algorithm has been successfully applied to control the main steam temperature, the reheated steam temperature, the combustion and coordinated control systems in 300MW unit of DABA Power Plant, the satisfactory control results have been achieved. This application is first time internally that the adaptive prediction control algorithm is used in distributed control system.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第10期84-88,共5页
Proceedings of the CSEE
基金
国家 8 6 3计划项目 !(86 3 5 11 82 0 0 36 )
关键词
电厂
DCS
自适应预估控制
可调增益前移
adaptive control
convergent
distributed control system (DCS)
auto generate control (AGC)