基于子空间的变风量空调解耦控制研究

Research on Decoupling Control of Variable Air Volume Air Conditioning Based on Subspace

变风量空调系统的控制回路多,回路间相互耦合,系统模型参数会因外部环境和运行工况等因素而发生变化。针对变风量空调系统控制多回路、长时滞、不确定等特性,提出一种数据驱动的子空间解耦控制策略。该控制策略采用子空间辨识方法在线识别系统状态空间模型,以计算和更新解耦器参数,建立子空间模型,结合子空间模型被控对象输出关于输出的子空间描述和控制器参数的关系式,构建性能指标,完成PID控制器参数的在线整定。对送水流量—送风温度和送风流量—静压耦合回路进行仿真分析,结果表明,子空间解耦控制方法有效消除了耦合回路之间的相互影响,提高了控制系统的稳定性和响应速度。

The variable air volume air conditioning system has multiple control loops,and the loops are coupled with each other.The system model parameters may change due to factors such as external environment and operating conditions.A datadriven subspace decoupling control strategy is proposed to address the characteristics of multi loop,long time delay,and uncertainty in the control of variable air volume air conditioning systems.This control strategy uses subspace identification method to identify the system state space model online,calculate and update the decoupler parameters and establish a subspace model.By combining the subspace description of the controlled object output and the relationship between the controller parameters,performance indicators are constructed to complete the online parameter tuning of PID controller parameters.Simulation analysis was conducted on the coupling circuits of water flow rate,air temperature,and air flow rate,static pressure.The results showed that the subspace decoupling control method effectively eliminated the coupling effect between the circuits and improved the stability and response speed of the control system.