南京理工大学学报（自然科学版）2017，Vol.41Issue(5)：591-595,601,6.DOI:10.14177/j.cnki.32-1397n.2017.41.05.009
基于T-S模型的局部通风机风量模糊预测控制算法
Fuzzy predictive control algorithm of partial ventilator based on T-S model
宋国庆 1王书满 2杨旭东2
作者信息
- 1. 江苏城市职业学院 机电工程学院,江苏 徐州221006
- 2. 中国矿业大学 机电工程学院,江苏 徐州221116
- 折叠
摘要
Abstract
Aiming at the shortness of proportion-integration-differentiation ( PID ) control, the fuzzy control and fuzzy adaptive PID control method in the partial ventilator system, a fuzzy predictive control algorithm based on the Takagi-Sugeno(T-S)model is proposed here. First,the T-S fuzzy model of the partial ventilator is established and the fitting degree validation experiment is carried out. Then,the fuzzy predictive ventilation control algorithm of the partial ventilator based on the T-S model is proposed. Finally,the algorithm is verified experimentally. Experimental results show that, compared with the PID control, the fuzzy control and the fuzzy adaptive PID control in the partial ventilator system,the control algorithm in this paper has the better performance and it can make the seer control according to the historical concentration of the gas.关键词
局部通风机/T-S模糊模型/聚类实验/预测控制Key words
partial ventilators/T-S fuzzy model/clustering experiment/predictive control分类
信息技术与安全科学引用本文复制引用
宋国庆,王书满,杨旭东..基于T-S模型的局部通风机风量模糊预测控制算法[J].南京理工大学学报（自然科学版）,2017,41(5):591-595,601,6.
