节点文献
多区域变风量空调系统神经网络预测控制研究
Neural Network Model Predictive Control of Multi-zone VAV Air Conditioning System
【摘要】 总风量控制法自提出后,由于末端动作频繁、通信量大、控制复杂而一直处于研究完善阶段。在分别对表冷器的PID控制系统和空调室的神经网络预测控制系统得出满意的动、静态性能的基础上,应用总风量控制法,对多区域变风量空调系统联动控制。在MATLAB环境下仿真表明系统达到了良好的控制效果。
【Abstract】 A total volume method for control of the multi-zone Variable Air Volume(VAV) air conditioning system was put forward.First,the dynamic models of the air cooler and 3 rooms were established.Then,a PID controller in the air cooler and Artificial Neural Network(ANN) predictive controller in the rooms was used to make a linkage control.Simulation results show that the system reaches good performance.The output value can track the fixed value commendably and the system has a good self adaptability and robustness.
【关键词】 变风量;
总风量控制法;
神经网络;
预测控制;
【Key words】 VAV; total volume method; neural network; predictive control;
【Key words】 VAV; total volume method; neural network; predictive control;
- 【文献出处】 系统仿真学报 ,Journal of System Simulation , 编辑部邮箱 ,2009年16期
- 【分类号】TU831.3
- 【被引频次】7
- 【下载频次】278