Simulation study on neural adaptive PSD control of variable frequency air conditioning systems

Taking variable frequency air conditioning systems as study object, develops a neural adaptive PSD control algorithm module combining adaptive control with neural PID. Builds a control system model for variable frequency air conditioning systems and makes simulation. The results show that the neural adaptive PSD control strategy has good characteristics of self-adaptive, self-learning, self-organization and robustness, and its control strategy is simple and easy to be realized, and more suitable for the control of variable frequency air conditioning systems.