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.

DRNN Based Decoupling Algorithm of Self-Tuning Controller on Line

2013 ◽  
Vol 442 ◽  
pp. 430-436
Author(s):  
Bo Bi ◽  
Xiao Yi Yang
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
System Simulation ◽  
Decoupling Control ◽  
Humidity Control ◽  
Coupling Relationship ◽  
Variable Control ◽  
Temperature And Humidity ◽  
Self Tuning ◽  
Decoupling Algorithm

In order to solve the puzzle that the change of a loop circuit parameter results in operation parameters change of other loop circuit in the control system, the paper proposed a sort of decoupling control algorithm of online self-tuning based on DRNN. In the paper, it took the temperature and humidity control of a certain controlled object as an example, constructed the mathematic model, analyzed the coupling relationship among the system variable, designed the decoupling network. It transforms the multi-variable control system with coupling relationship as the independent single-variable control system so as to eliminate the effect among related control channels. Based on decoupling algorithm of DRNN proposed in this paper, it made the research on system simulation experiment, and the response of system simulation demonstrated that it is very small to the effect of two channels of temperature and humidity control after through decoupling, and realized the decoupling among coupling variables. The results of simulation research show that the proposed decoupling control algorithm is feasible and reasonable.

scholarly journals Sistem Pengendalian Suhu dan Kelembaban Kumbung Jamur Tiram secara Realtime Menggunakan Esp8266

2019 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Arafat Arafat ◽  
Desy Ika Puspitasari ◽  
Wagino Wagino
Keyword(s):  
Control System ◽  
High Temperature ◽  
Rapid Growth ◽  
Physical Factors ◽  
Mushroom Cultivation ◽  
Humidity Control ◽  
Turn On ◽  
Humidity Condition ◽  
Limit Setting ◽  
Temperature And Humidity

Oyster Mushroom is one of the high-value consumption mushrooms. The development of mushroom experienced rapid growth marked by the increasing number of farmers breeding mushroom is directly proportional to number of mushroom food business. The process of mushroom cultivation in mushroom’s greenhouse depends on physical factors such as temperature, humidity, light, pH of planting medium, and air aeration. Watering activity is done if the condition and humidity of mushroom's greenhouse was dry, three times a day at the morning, afternoon and evening. If the conditions of temperature and humidity fluctuate in the current seasons, it is not enough to be sprayed. High temperature and humidity fluctuations disturbed harvest. The results of this research are realtime temperature and humidity control system, esp8266 12-F and DHT22 sensor to read humidity value that can do watering and keep humidity greenhouse. The best humidity limit is 65% and maximum is 80%. If the humidity condition reaches 65%, then esp8266 will activate the relay to turn on the DC pump machine and nozzle spray. If humidity reached 80%, then esp8266 will turn off the DC pump. 80% humidity limit setting to avoid mushrooms from getting too wet. Humidity conditions monitored with android smartphone in realtime.

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.

Sign in / Sign up

Export Citation Format

Share Document