基于智能水滴算法的空调水温二阶时滞PID控制

Two Order Time Delay PID Control of Air-conditioning Water Temperature Based on Intelligent Water Droplet Algorithm

为提高中央空调系统使用过程中的能耗利用效率,实现更加有效的回水水温控制,提出基于不确定IWD-PID整定的中央空调系统回水水温控制方法。首先对中央空调系统冷回水水温模型进行研究,用二阶时滞惯性模型对回水水温模型进行描述,获得其控制对象数学模型形式;其次引入智能水滴算法(IWD)对PID控制器进行优化整定,并利用不确定方式对IWD算法进行性能提升,最后据此对中央空调系统回水水温模型的PID控制器进行参数整定,实现回水水温有效控制。实验结果表明,采用该控制策略在满足室内负荷需求的前提下能够更有效地降低冷冻水泵的运行频率,节能效果与控制质量更佳。

In order to improve the utilization efficiency of the energy consumption of the central air-conditioning system use process, realize that the return water temperature control is more effective, this paper proposes a central air-conditioning water temperature control method based on the uncertain IWD-PID tuning. Firstly, the cold return water temperature model of the central air-conditioning system is studied. The two order time delay inertia model is used to describe the return water temperature model, and the mathematical model of the control object is obtained. Secondly, the intelligent water droplet(IWD) algorithm is introduced for optimization tuning of PID controller, and the uncertain tuning is used to enhance the performance of IWD algorithm, and then the PID controller parameter tuning can be implemented for central air-conditioning return water temperature model, and the effective control of return water temperature can be realized. The experimental results show that the control strategy can effectively reduce the operating frequency of refrigerated water pumps, save energy and control quality better under the premise of meeting the indoor load demand.