一种采用直膨空调的室内温湿度预测控制方法
By establishing a nonlinear hybrid model of direct expansion air conditioning and building equivalent thermal parameters, and combining model predictive control and Kalman filtering, the compressor speed and air volume are adjusted in real time, solving the problem of balancing energy saving and thermal comfort in direct expansion air conditioning systems, and achieving precise control of indoor temperature and humidity and reduction of energy consumption.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU DIANZI UNIV
- Filing Date
- 2023-09-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing variable frequency direct expansion air conditioning systems have problems such as a large operating range, many interferences, nonlinearity, and strong coupling of operating parameters, making it difficult to simultaneously meet the requirements of system energy saving and thermal comfort. Furthermore, traditional control methods cannot effectively control humidity.
A predictive control method for indoor temperature and humidity using direct expansion air conditioning is adopted. By establishing a nonlinear hybrid model of the direct expansion air conditioning system and the building's equivalent thermal parameters, linearization and discretization are performed. Combined with a model predictive controller and Kalman filtering, a quadratic programming optimization problem is constructed to adjust the compressor speed and air volume in real time to achieve indoor temperature and humidity control.
While ensuring thermal comfort, the system reduces energy consumption and quickly tracks indoor temperature and humidity to set values, thus achieving energy-saving effects.
Smart Images
Figure CN117146398B_ABST