东南大学学报（英文版）2017，Vol.33Issue(1)：53-58,6.DOI:10.3969/j.issn.1003-7985.2017.01.009
超超临界机组机炉协调系统的模糊抗扰动预测控制
Fuzzy disturbance rejection predictive control of ultra-supercritical once-through boiler-turbine unit
摘要
Abstract
In order to overcome the wide-range load tracking and unknown disturbance issues of an ultra-supercritical boilerturbine unit,a fuzzy disturbance rejection predictive control approach is proposed using the techniques of fuzzy scheduling,model predictive control and extended state observer.Local state-space models are established on the basis of nonlinearity analysis and subspace identification.To enhance the disturbance rejection capability of the controller,an extended state observer is employed to estimate unknown disturbances and model mismatches.The disturbance estimation enhanced local predictive controllers are subsequently devised based on the local models,the performance of which is further strengthened by incorporating the fuzzy scheduling technique.The simulation results verify the merits of the proposed strategy in achieving satisfactory wide-range load tracking and disturbance rejection performance.关键词
超超临界机组/模型预测控制/模糊控制/扩张状态观测器Key words
ultra-supercritical power plant/model predictive control/fuzzy control/extended state observer分类
信息技术与安全科学引用本文复制引用
张帆,吴啸,沈炯..超超临界机组机炉协调系统的模糊抗扰动预测控制[J].东南大学学报（英文版）,2017,33(1):53-58,6.基金项目
The National Natural Science Foundation of China(No.51506029,51576041),the Natural Science Foundation of Jiangsu Province (No.BK20150631),China Postdoctoral Science Foundation. （No.51506029,51576041）
