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Microclimate environment model construction and control strategy of enclosed laying brooder house
Liai Gao1, Mengwei Er2, Lihua Li1
1College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China; Key Laboratory of Meat and Layer Breeding Facilities Engineering, Ministry of Agriculture and Rural Affairs, Baoding 071000, China; Hebei Provincial Key Laboratory of Livestock and Poultry Breeding Intelligent Equipment and New Energy Utilization, Baoding 071000, China.
Optimizing chick brooder house microclimates is crucial for growth. This study developed a simulation model and a fuzzy decoupling PID control strategy to effectively regulate temperature and humidity, improving chick health and performance.
Area of Science:
- Agricultural Engineering
- Environmental Control Systems
- Animal Husbandry
Background:
- Optimal microclimate in chick brooder houses is essential for chick growth and health.
- Challenges exist in accurately modeling and regulating brooder house microclimates due to structural factors and heat dissipation.
- Existing control systems struggle with the strong coupling between temperature and risk management.
Purpose of the Study:
- To establish an environmental data acquisition system for enclosed chick brooder houses.
- To develop a microclimate simulation model based on energy balance principles.
- To design and validate a fuzzy decoupling Proportion Integration Differentiation (PID) control strategy for enhanced environmental regulation.
Main Methods:
- An environmental data acquisition system was implemented to collect data on various factors.
- A microclimate simulation model was built using the physical law of energy balance.
- A fuzzy decoupling PID control model was developed, incorporating fuzzy logic and compensation coefficients for optimization.
Main Results:
- The microclimate simulation model demonstrated high accuracy with R-square values of 0.7634 for temperature and 0.9740 for humidity.
- The fuzzy decoupling PID controller achieved precise control, with maximum deviations of 0.5°C for temperature and 4.93% for humidity.
- Maximum relative errors for temperature and humidity were 2.7% and 10.49%, respectively, indicating effective control.
Conclusions:
- The developed microclimate simulation model accurately represents brooder house conditions.
- The fuzzy decoupling PID control strategy effectively manages temperature and humidity, meeting control requirements.
- The validated model and control strategy provide a foundation for practical environmental control in brooder houses, enhancing chick welfare.
