关键词: 回水温度, PID控制器, 粒子群算法, 人工免疫算法, 节能

Abstract: To reduce energy consumption effectively and control return water temperature stably in central air conditioning system, an optimization control method of return water temperature is proposed in this paper. According to deviation from set point of return water temperature, the actual cooling load demand in the room can be judged. Firstly, the inertia weight of particle swarm optimization algorithm is made decline exponentially. Then, the thoughts of artificial immune algorithm are introduced in particle swarm optimization algorithm, thus forming AI-PSO algorithm. Finally, the 3 parameters of PID controller can be optimized with AI-PSO algorithm, and through the PID controller, frequency of chilled water pump is adjusted to make return water temperature steady near set point. The experimental data and simulation results show that this strategy can reduce the operating frequency of frozen water pump more effectively while meeting the indoor load demand.

Key words: return water temperature, PID controller, particle swarm optimization algorithm, artificial immune algorithm, energy conservation