Low Power Consumption Optimization Control of Air Conditioning for UAV Nest on Tower Based on EM Algorithm

Aiming at the problem of high energy consumption of air conditioning system of UAV nest on tower, a low power optimization control method based on expectation maximization (EM) algorithm is proposed. Based on the analysis of the factors affecting the temperature of the UA V nest on the tower, the air conditioning control model of the UA V nest on the tower is constructed. The operating mode of the air conditioning is dynamically adjusted using the EM algorithm, which can significantly reduce the energy consumption while ensuring the stability of the temperature inside the nest, effectively improve the energy efficiency ratio of the air conditioning system, and provide a new solution for the energy-saving operation of the UAV nest.