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

2012 ◽  
Vol 6 (1) ◽  
pp. 821-823
Author(s):  
Wang Jia ◽  
Wang Feng ◽  
Jiang Yong ◽  
Chen Zhixin ◽  
Yan Shitian
Keyword(s):  
Air Conditioning ◽  
Subway Station ◽  
Fuzzy Pid ◽  
Air Conditioning System

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

2011 ◽  
Vol 128-129 ◽  
pp. 811-814
Author(s):  
Jia Wang ◽  
Feng Wang ◽  
Yong Jiang ◽  
Zhi Xin Chen ◽  
Shi Tian Yan
Keyword(s):  
Air Conditioning ◽  
Parameter Tuning ◽  
Subway Station ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Air Conditioning System ◽  
Fuzzy Pid Controller ◽  
Quality Of Control ◽  
On Line ◽  
Excellent Control

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.

Adaptive PID Control for the Air-Conditioning System in Spray-Paint Workshop Based on Fuzzy Logic

2012 ◽  
Vol 433-440 ◽  
pp. 5733-5738
Author(s):  
Jie Dong
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Air Conditioning ◽  
Good Control ◽  
Heating System ◽  
Fuzzy Pid ◽  
Air Conditioning System ◽  
Fuzzy Pid Controller ◽  
Robust Property ◽  
Adaptive Pid Control

As the improvement of the modern workshop’s demand for cool supply, heating system, how to effectively manage the air-conditioning equipments to satisfy the production skills for air-conditioning system has become an important subject for modern workshop design. This paper comes from the No.1 motorcar company’s project about the automatic air-conditioning system of the car spray-paint workshop. For many reasons, the conventional PID control is difficult to satisfy the car spray-paint production’s strictly demands of the temperature, after a careful research of the object, we utilize the principle of fuzzy PID adaptive control to design a fuzzy PID controller, then put it into the air-conditioning heater’s controlling, through the practice, we find the controller has a good robust property and realized a good control result.

Conventional and advanced exergy analyses of an air-conditioning system in a subway station

2019 ◽  
Vol 29 (2/3/4) ◽  
pp. 236
Author(s):  
Hua Yin ◽  
Huafang Guo ◽  
Zhihua Tang ◽  
Junyan Yu ◽  
Haiyang Lu
Keyword(s):  
Air Conditioning ◽  
Subway Station ◽  
Air Conditioning System ◽  
Exergy Analyses

Conventional and advanced exergy analyses of an air-conditioning system in a subway station

2019 ◽  
Vol 29 (2/3/4) ◽  
pp. 236
Author(s):  
Junyan Yu ◽  
Haiyang Lu ◽  
Hua Yin ◽  
Zhihua Tang ◽  
Huafang Guo
Keyword(s):  
Air Conditioning ◽  
Subway Station ◽  
Air Conditioning System ◽  
Exergy Analyses

Intelligent Information Control for Air System

2013 ◽  
Vol 310 ◽  
pp. 502-505
Author(s):  
Jun Zhou
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Air Conditioning ◽  
Information Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Air Conditioning System ◽  
Adaptive Fuzzy ◽  
Technical Requirements ◽  
Adaptive Fuzzy Pid Control

PID control has been widely applied in the industrial process control because of its robust and easy realization, but it is difficult to tune the parameters of PID controller, which often leads to oscillation and overshoot. Due to no repetition and random of adaptive fuzzy PID control, the authors propose a method to search for normalization PID controller parameters based on adaptive fuzzy PID control, which can be expected to have higher ability of searching for global optimal PID parameters according to the performance index of control system . The MATLAB simulation of the Adaptive fuzzy PID controller and a PID controller were carried out on the Air Conditioning System temperature. Results showed that: Response time of Adaptive fuzzy PID was 0.46 s., and maximum overshoot didn’t exceed 3.29%.The stability accuracy and rapidity of the system were able to satisfy the Air Conditioning System technical requirements.

Sign in / Sign up

Export Citation Format

Share Document