Energy Saving Control in Air Conditioning System Based on Flexible Iterative Learning Control

According to the repetition and periodicity of air conditioning system, a method of flexible iterative learning control based on the historical data is proposed and applied into the air conditioning system. The air conditioning system is repetitive and periodic with finite operation intervals, but there are some irregular uncertain factors, such as dynamic climate and other disturbances, so a flexible measure is adopted in ILC. F-ILC makes high control precision and ideal energy saving effect in the control of air conditioning system. After the control precision has met with the tolerance of AC system, a control dead-zone is set to ILC. No more iterative learning is necessary in case of error divergence. The control experience data may be stored in a knowledge base or expert system for the future control. The simulation proves the effect of F-ILC.