Application of Fuzzy PID for the Ventilation and Air Conditioning System of Subway Station

Jia Wang; Feng Wang; Yong Jiang; Zhi Xin Chen; Shi Tian Yan

doi:10.4028/www.scientific.net/AMM.128-129.811

Paper Titles

A Study of Processing of the Leakage Signal for Single Antenna LFMCW Radar Altimeter
p.794

A Study on an Effective Motion Tracking Algorithm
p.799

Analysis on Application of HCCI Technology for Hybrid Electric Vehicles
p.803

Application of Disturbance Rejecting Fuzzy Controller in Electric Arc Furnace
p.807

Application of Fuzzy PID for the Ventilation and Air Conditioning System of Subway Station
p.811

Based on Fuzzy PID Control’s Research of Control of Concentration of Sub-Nanometer Wood Flour
p.815

Direct Torque Control of Permanent Magnet Synchronous Motor Based on Fast Terminal Sliding Mode
p.819

Distributed High-Precision Field Testing System of Construction Machinery Based on CAN Bus
p.825

Driving Belt Conveyor Based on Long-Term Transmission Inverter
p.829

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129Application of Fuzzy PID for the Ventilation and...

Application of Fuzzy PID for the Ventilation and Air Conditioning System of Subway Station

Abstract:

The ventilation and air conditioning system in the public area of subway station is a complex system which possesses a problem by once setting parameters of PID is difficult to ensure excellent control effect. Therefore this paper proposed an algorithm to adopt parameter tuning that could adjust the PID parameters on real time to ensure good quality of control system. It combined fuzzy logic control with conventional PID control algorithm, with the help of fuzzy tuning of PID parameters on line to change the control effect. By simulation, fuzzy PID controller could get better in control effect, higher in control accuracy, stronger in robustness than before.

You might also be interested in these eBooks

Measuring Technology and Mechatronics Automation IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

811-814

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.811

Citation:

Cite this paper

Online since:

October 2011

Authors:

Jia Wang, Feng Wang, Yong Jiang, Zhi Xin Chen, Shi Tian Yan

Keywords:

Air-Conditioning System, Fuzzy PID, Subway Station, Ventilation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Servet, S., Mehmet, K. etc, in: Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system [J]. Expert System with Applications, 2008. 05. 031.

DOI: 10.1016/j.eswa.2008.05.031

Google Scholar

[2] You Shijun, Zhang Lei and Yuan Fengdong, in: Research of Subway Ventilation and Air Conditioning System of Intelligent Control and Energy Saving [J]. Tianjin University Environment Science and Engineering College (2009).

Google Scholar

[3] H. A. Malki, H. Li, and G. Chen, in: New Design and Stability Analysis of Fuzzy Proportional-Derivative Control System [J]. IEEE Transactions on Fuzzy System, (1994).

DOI: 10.1109/91.324804

Google Scholar

[4] Jiang Changsheng, Wang Congqing etc, in: Intelligent Control and Application [M]. Beijing: Science Publication, (2007).

Google Scholar

[5] Wang Xiaobao, Yu Lei and He Bin, in: Application Algorithm in Subway Station Environment Control [J]. Urban Track Traffic (2009), pp.18-21.

Google Scholar

[6] Sun Yun, Wang Xiaobao and Yue Jiguang, in: The Subway Environment Control System Model and Neural Network [J]. Urban Track Traffic (2009), pp.40-43.

Google Scholar