摘要
中央空调系统制冷机的能量消耗特性具有强非线性的特点,传统的建模方法满足不了在线优化需求。利用BP人工神经网络的非线性映射能力,研究建立了中央空调系统制冷机的能量消耗模型。解决了由于空调系统设备模型复杂、待定系数数量多。
The refrigerator energy consumption of a central air-conditioning system is non-linear and online optimization cannot be achieved by traditional methods.A model for refrigerator energy consumption of a central air-conditioning system was established with nonlinear mapping capability of BP ANN.By this model,the real-time optimal control of a central airconditioning system with complicated equipment models,more undetermined coefficients,and difficult selection for optimization initial values can be achieved.
出处
《辽东学院学报(自然科学版)》
CAS
2006年第3期35-39,共5页
Journal of Eastern Liaoning University:Natural Science Edition
关键词
中央空调系统
BP人工神经网络
制冷机
非线性
central air-conditioning system
back propagation artificial neural network
refrigerator
nonliearity