The Design of Temperature and Humidity Control System of Fresh-Keeping Storage Based on Fuzzy PID Inference Algorithm

2013 ◽  
Vol 811 ◽  
pp. 569-574
Author(s):  
Pei Qing Li ◽  
Jie He ◽  
Chen Hao Fan ◽  
De Hua Wu
Keyword(s):  
Control System ◽  
Fruits And Vegetables ◽  
Experimental Result ◽  
Inference Algorithm ◽  
Fuzzy Pid ◽  
Humidity Control ◽  
Control Precision ◽  
Simulink Simulation ◽  
Rapid Responses ◽  
Temperature And Humidity

At present, the preservation methods of fresh fruits and vegetables to be stored are mainly to cold storage in our country, so the lowed temperature would tend to undermine the inside nutritional ingredient of the fruits and vegetables, and the perishable and other shortcomings. In order to overcome the shortcomings of the traditional fresh-keeping storage, we developed a control system based on fuzzy PID (Proportion Integration Differentiation) inference algorithm for temperature and humidity. Fuzzy PID inference algorithm, by changing the parameters of fuzzy control rule table and adjust the PID system, can adapt to the different requirements of fruits and vegetables in different periods of storage. The experimental result and matlab/simulink simulation show that this method has high precision and rapid responses. It can meet the demand of temperature and humidity control through Fresh-keeping Storage and achieve control precision of 0.4°C and less than ±3%RH for temperature and relative humidity in practical application, respectively.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

Adaptive Decoupling Design of Constant Temperature and Humidity Control System Based on GPC and Multi-Model Control

2010 ◽  
Vol 43 ◽  
pp. 308-311 ◽  
Author(s):  
Rong Biao Zhang ◽  
Xian Lin Huang ◽  
Li Hong Wang ◽  
Jing Jing Guo
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Large Time ◽  
Decoupling Control ◽  
Humidity Control ◽  
Dynamic Decoupling ◽  
Model Mismatch ◽  
Model Sets ◽  
Model Control ◽  
Temperature And Humidity

In view of characteristics of large time delay, multi-interference and strong coupling in temperature and humidity control system, an adaptive decoupling strategy based on generalized predictive control (GPC) and multi-model control is proposed in this paper. The proposed strategy mainly contains muti-model control, GPC decoupling control and adaptive algorithm. In multi-model control, multi-model sets are established to prevent the model mismatch in different working conditions. Meanwhile, this paper designs adaptive dynamic decoupling algorithms based on the principle of GPC. In actual experiments, temperature and humidity achieve precision of ±0.2°C and ±0.5% respectively.

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