Study on VAV Temperature Fuzzy Controllers with Self-Tuning Parameters and Variable Universe

2011 ◽  
Vol 383-390 ◽  
pp. 654-660
Author(s):  
Hong Zhou He ◽  
Shao Hui Yang
Keyword(s):  
Fuzzy Control ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Adaptive Fuzzy Control ◽  
Air Conditioning System ◽  
Tuning Parameters ◽  
Variable Universe ◽  
Self Tuning ◽  
Variable Universe Fuzzy Control ◽  
Fuzzy Control Algorithm

VAV air-conditioning system has the characters of nonlinear and non-stationary under the influence of many factors, so it is hard to tune the parameters of the fuzzy control system. According to the structure and operation principle of VAV air-conditioning system, the monitoring system has been developed. The conventional fuzzy control algorithm, temperature self-tuning parameters fuzzy control algorithm and variable universe adaptive fuzzy control algorithm were researched in the system. The relationship between the scale factors and several main performance indexes of the system's respond curve like overshoot, steady-state error and transient time has been analyzed. The experiments results indicate that the variable universe fuzzy control algorithm can improve the performance of the fuzzy controlle, the combination property index decreases over 17%. The algorithm is feasible to use it on line since it is simple and need few system resources.

Flow Control Strategy for Novel Layered Synchronous Water Injection Technology in Oilfield

2012 ◽  
Vol 424-425 ◽  
pp. 737-741
Author(s):  
De Li Jia ◽  
Feng Shan Wang ◽  
Shu Jin Zhang ◽  
Ming Xin Zhao
Keyword(s):  
Fuzzy Control ◽  
Flow Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Water Injection ◽  
Adaptive Fuzzy Control ◽  
Adaptive Fuzzy ◽  
Variable Universe ◽  
Injection Technology ◽  
Fuzzy Control Algorithm

The layered synchronous water injection technology in oilfield has such characteristics as strong nonlinearity, interlayer interference, time variation and complex model. The traditional control strategy based on the model often causes system unstable and regulation time too long, thereby making control effect unsatisfactory. To satisfy the requirements of layered synchronous water injection technology, this paper designs a flow controller based on adaptive fuzzy control algorithm with variable universe. The universe will change with variables parameters by adjusting extension-contraction factor. The experimental verification show that the system has good control performance, strong adaptability and short measurement and regulation time with the introduction of variable universe adaptive fuzzy control algorithm into flow control system of layered synchronous water injection technology

Automotive Air Conditioning System Fuzzy Control Algorithm

2011 ◽  
Vol 181-182 ◽  
pp. 787-791
Author(s):  
Li Min Hou ◽  
Xing Xing
Keyword(s):  
Fuzzy Control ◽  
Energy Conservation ◽  
Human Body ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Comfort Level ◽  
Automotive Air Conditioning ◽  
Control Principle ◽  
Fuzzy Control Algorithm ◽  
Control Output

The traditional PID algorithm control automotive air conditioning needs urgently to be improved in energy conservation effect and the human body comfort level. Uses the fuzzy control principle, to design fuzzy control algorithm to realize the automotive air conditioning's intelligent control, according to the temperature humidity from the temperature sensor and the humidity sensor , take the human body comfort as the foundation to carry on the fuzzy revision to the temperature in the compartment; According to the difference between the set temperature and the actual temperature, uses fuzzy control principle deduction to control the output; According to the outdoor temperature and the passenger full strength rate carries on the heat load fuzzy revision to the control output; or based on the situation of vehicle door shuts/opens, carries on the revision to the control output. Compares with the PID control, the energy conservation effect is about 15-20%.

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