|Table of Contents|

Fuzzy predictive control algorithm of partial ventilatorbased on T-S model(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2017年05期
Page:
591-
Research Field:
Publishing date:

Info

Title:
Fuzzy predictive control algorithm of partial ventilatorbased on T-S model
Author(s):
Song Guoqing1Wang Shuman2Yang Xudong2
1.Mechanical and Electrical Engineering College,Jiangsu Urban Vocational College,Xuzhou 221006,China; 2.Mechanical and Electrical Engineering College,China Mining University,Xuzhou 221116,China
Keywords:
partial ventilators T-S fuzzy model clustering experiment predictive control
PACS:
TP274
DOI:
10.14177/j.cnki.32-1397n.2017.41.05.009
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.

References:

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Last Update: 2017-09-30