Application of Fuzzy-PID Controller in Heating Ventilating and Air-Conditioning System

Author(s):  
Jiangjiang Wang ◽  
Dawei An ◽  
Chengzhi Lou
2012 ◽  
Vol 433-440 ◽  
pp. 5733-5738
Author(s):  
Jie Dong

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.


2011 ◽  
Vol 128-129 ◽  
pp. 811-814
Author(s):  
Jia Wang ◽  
Feng Wang ◽  
Yong Jiang ◽  
Zhi Xin Chen ◽  
Shi Tian Yan

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.


2013 ◽  
Vol 310 ◽  
pp. 502-505
Author(s):  
Jun Zhou

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.


2012 ◽  
Vol 204-208 ◽  
pp. 4286-4291
Author(s):  
Jian Min Sun ◽  
Chun Dong Zhang ◽  
Ze Yang Zhou

Central air-conditioning control system have characteristics of susceptible to outside interference, nonlinear, time-varying, hysteresis and difficult to build precise mathematical model. Central air conditioning chilled water system with variable water flow was taken as subject. According to the principle of energy saving, on the basis of traditional PID controller, adaptive fuzzy PID controller was designed. Fuzzy control algorithm determines the choice of parameters of PID controller KP、KI、KD , with which, then, regulate the output of adaptive fuzzy PID controller; Finally the output value determination of the operation frequency of the chilled water pumps. Compared with conventional system temperature control, adaptive fuzzy PID control in central air conditioning system has good energy-saving effect.


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