Design System of Refrigerator Drive Control Circuit Based on Deep Learning Algorithm

Refrigerators play an important role in modern life, as they are used to maintain indoor temperature comfort and freshness of food. The traditional design methods for the drive control circuit of refrigerators usually use traditional control algorithms, such as PID control, but these methods often fail to meet the efficient and intelligent requirements of modern refrigerators. Therefore, a refrigeration machine drive control circuit design system based on deep learning algorithms has emerged. Deep learning algorithm has powerful pattern recognition and adaptive learning capabilities, which can extract features, predict and control by learning a large number of data. Applying deep learning algorithms to the design of refrigeration machine drive control circuits can more accurately predict and control the working state of the refrigeration machine, improving the performance and stability of the control system. The function of the refrigeration machine drive control circuit design system based on deep learning algorithm is to achieve intelligent control of the refrigeration machine. Through experiments, it can be seen that the command response speed of the refrigeration machine drive control circuit design system based on the deep learning algorithm was within 15 seconds, the fault handling capacity was over 47, and the fault handling speed was within 24 seconds.