摘要
针对恒温恒湿空调实际运行中的随机干扰,提出了一种基于二维框架理论的迭代学习预测控制方法。首先,对恒温恒湿空调系统进行线性建模;其次,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;随后给出了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。
Aimed at the random disturbance in actual operation of variable air volume air conditioning,an iterative learning predictive control method based on two-dimensional framework theory is proposed.Firstly,the linear model for variable air volume air conditioning system is obtained.Then the air conditioning system is regarded as a batch process and the two-dimensional state space model is obtained by the theory of two-dimensional framework.Then the design method of iterative learning predictive controller is given.Finally,the iterative learning predictive control not only has good robustness to periodic interference,but also can maintain a better tracking performance under the condition of random disturbance,which is found by comparing track response under the different disturbance signal.The effectiveness is verified by the result of simulation.
作者
周勇
ZHOU Yong(State Key Laboratory of Rail Transit Engineering Informatization(FSDI),Xi’an 710043,China)
出处
《信息技术》
2020年第2期83-88,共6页
Information Technology
关键词
变风量空调
随机干扰
二维框架理论
迭代学习预测控制
variable air volume air conditioning
random disturbance
two-dimensional frame theory
iterative learning predictive control
