随机干扰的变风量空调模糊迭代学习预测控制

An Iterative Learning Predictive Control of Variable Air Volume Air Conditioning Aimed at Random Disturbance

针对汽车变风量空调实际运行中存在的随机干扰,提出了一种基于二维框架理论的模糊迭代学习预测控制方法。首先对变风量空调系统进行线性建模;然后将空调系统作为间歇过程,利用二维框架理论得到二维状态空间模型;随后基于模糊理论介绍了变学习速率与预测步长的迭代学习预测控制器的设计方法。最后通过对比不同干扰信号条件下的跟踪响应发现模糊迭代学习预测控制不仅对周期性干扰具有较好的鲁棒性,而且在随机干扰条件下,依旧能够保持较好的跟踪性能。仿真结果验证了该方法的有效性。

Aiming at the random disturbance in the actual operation of VAV air conditioning,a fuzzy iterative learning predictive control method based on two-dimensional frame theory is proposed.Firstly,the linear model of VAV air conditioning system is established,then the two-dimensional state space model is obtained by using the two-dimensional frame theory,and then the design method of the iterative learning predictive controller with variable learning rate and predictive step size is introduced based on the fuzzy theory.Finally,by comparing the tracking responses of different jamming signals,it is found that the fuzzy iterative learning predictive control not only has good robustness to periodic disturbance,but also can maintain good tracking performance under random disturbance conditions.The simulation results verify the effectiveness of the proposed method.