Energy Saving Temperature Control of UAV Nest Inverter Air Conditioning Based on Variable Air Volume and DE Algorithm

The current temperature control model of UAV nest inverter air conditioning energy saving is mostly set to a single scheduling form, and the control efficiency is relatively low, resulting in a decline in the final energy consumption optimization ratio. Therefore, the design and practical verification of the temperature control method of UAV nest inverter air conditioning energy saving based on variable air volume and DE algorithm are proposed. According to the current measurement, the dynamic balance adjustment of the air volume and frequency of variable frequency air conditioning is carried out first. Based on this, the change trend of the thermal load of the UAV nest is analyzed. On this basis, combined with variable air volume and DE algorithm, the efficiency of control is strengthened, and the energy-saving temperature control model of UAV nest inverter air conditioning with variable air volume and DE algorithm is established, and the multi-level real-time balance correction method is used to achieve temperature control processing. The test results show that compared with DFT central air conditioning control method and deep learning intelligent energy-saving air conditioning control method, the energy consumption optimization ratio finally obtained by the variable air volume and DE calculation UAV machine nest variable frequency air conditioning energy-saving temperature control method is relatively high, which indicates that this time, with the help and support of variable air volume and DE algorithm, the designed energy-saving temperature control method of UAV nest inverter air conditioning is more flexible and changeable, and its own temperature control effect has been further improved, and the results have been verified in practice.