基于Simulink的空调系统先进自校正控制仿真研究

空调系统可以被看作是一阶惯性加延迟的过程,系统具有时延和参数时变的特性.提出了一种先进的自校正控制策略并将其应用在空调系统中.该控制策略采用了一种混合的参数辨识算法,在控制系统闭环运行条件下,空调系统的过程参数包括延迟时间可以被在线辨识.辨识出的延迟时间被Smith预估器用来补偿控制回路中的时延,同时该控制策略的控制信号可由内环回路中的PI控制器根据ITAE整定规则计算获得.Simulink仿真结果表明该自校正控制策略较自适应PI控制的控制性能更为优越.

Simulation of Advanced Self-tuning Controller for Air-conditioning Systems in Simulink

An advanced self-tuning controller for temperature control of a single-zone environment space in an air-conditioning system was proposed. The process of air-conditioning could be described as a first-order-plus-dead-time (FOPDT) model. The characteristics of the process including significant time delay and the time-varying dynamics were considered. The proposed controller used a hybrid parameters identifier, by which the parameters of the air-conditioning process including the time delay could be estimated in real time. Then the estimated parameters were used to update the Smith predictor parameters to compensate for the time delay of the air-conditioning system. Furthermore, the control signal of the control loop was calculated by a PI controller based on the prediction error. To evaluate the effectiveness of the self-tuning controller, the proposed control method was compared with an adaptive PI controller in Simulink, which is an environment for multidomain simulation and model-based design for dynamic and embedded systems. Simulation results show that the self-tuning controller obtains higher performance compared with the adaptive PI controller.