东南大学学报（英文版）2021，Vol.37Issue(1)：42-51,10.DOI:10.3969/j.issn.1003-7985.2021.01.006
超超临界机组机炉协调系统的min-max模糊模型预测跟踪控制
Min-max fuzzy model predictive tracking control of boiler-turbine system for ultra-supercritical units
摘要
Abstract
To improve the control performance of nonlinear ultra-supercritical(USC)thermal power units,an improved min-max fuzzy model predictive tracking control(FMPTC)strategy is proposed.First,a T-S fuzzy model is established to approximate the dynamics of the nonlinear boiler-turbine system.Then,based on an extended fuzzy model containing state variables and output variables,a min-max FMPTC is derived for output regulation while ensuring the closed-loop system stability and the inputs in their given constraints.For greater controller design freedom,the developed controller adopts a new state-and output-based objective function.In addition,the observer estimation error is regarded as a bounded disturbance,ensuring the stability of the entire closed-loop control system.Simulation results on a 1 000 MW USC boiler-turbine model illustrate the effectiveness of the proposed approach.关键词
超超临界机组机炉协调系统/T-S模型/min-max模型预测控制/输出跟踪/线性矩阵不等式Key words
ultra-supercritical boiler-turbine system/T-S model/min-max model predictive control/output tracking/linear matrix inequality分类
信息技术与安全科学引用本文复制引用
陈琛,潘蕾,Kwang Y.Lee..超超临界机组机炉协调系统的min-max模糊模型预测跟踪控制[J].东南大学学报（英文版）,2021,37(1):42-51,10.基金项目
The National Natural Science Foundation of China(No.51936003). （No.51936003）
