暖通空调控制系统Smith预估器自适应算法设计

Adaptive Algorithm Design of Smith Predictor in HVAC Control System

  • 摘要: 针对暖通空调(HVAC)系统控制过程中存在的大时滞问题,研究在系统模型参数改变情况下克服时滞影响的方法.对于一阶带纯时滞的空调系统模型,利用信号相关理论和李亚普诺夫稳定理论,推导出了Smith预估器模型参数的自适应算法.本算法使Smith预估器可以在系统模型改变的情况下在线整定,从而实时更新参数.将此自适应Smith预估器应用于空调系统控制,可以避免在模型参数失配情况下引起的系统不稳定甚至振荡,解决了空调控制中大时滞对系统动态性能的影响,提高了稳定性.

     

    Abstract: Aiming at the time delay problem in the control process of HVAC(heating,ventilating and air-conditioning),a method is proposed to overcome the effect of time delay when model parameters are changed.The adaptive algorithm of Smith predictor model parameters based on the first-order air-conditioning system model with pure delay time is deduced by signal relative theory and Lyapunov stability theory.In this algorithm,the Smith predictor can be adjusted on line to update the parameter in real-time on condition that the system model has changed.The adaptive algorithm Smith predictor is applied to air-conditioning system to avoid the instability and even oscillation caused by model parameters mismatch,solve the dynamic performance effect due to large time delay on air-conditioning system,and improve the stability of system.

     

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