摘要
分析变风量空调系统多区域运行时的耦合关系,针对变风量空调参数多变、强耦合的特点,提出了一种改进的误差反向传播算法的神经网络分散解耦控制方法,对送风量-室内温度进行解耦;然后采用基于BP神经网络的PID控制方法对解耦后的2个近似独立的单输入单输出系统进行控制。仿真结果表明,神经网络分散解耦算法具有很强的自学习功能和自适应解耦能力,控制系统响应快,稳态误差小,有效提高变风量空调系统的控制精度及性能指标。
The coupling relationship between operation. Aiming at the characteristics of variable variable parameters was analyzed when multi-zone parameters and strong coupling of VAV air conditioning system, an error back-propagation algorithm neural network distributed decoupling method was proposed, which was used to decouple the air volume and room temperature control system into two approximately independent single input-single output control systems. Then using the PID control method based on BP neural network controls the system. The simulation results show that the proposed method has strong self- learning function and adaptive deeoupling capacity, performance indicators. and effectively improved the control accuracy and
出处
《信息技术》
2015年第2期168-171,共4页
Information Technology
关键词
变风量空调
解耦控制
BP神经网络
PID控制
VAV air conditioning system
decoupling control
BP neural network
PID control
