Abstract:

During the process of using bridge air conditioning instead of airborne APU, controlling of bridge air conditioning has become the focus of operation and management. By modeling the bridge air conditioning, temperature control system transfer function is established. In order to improve the accuracy of the temperature control, an improved single neuron PID controller combined with the traditional PID control method is taken. And on the basis of single neuron, the weight and K value are improved, and the S function is written to establish the Simulink model of controlled system. Matlab is used to simulate the temperature control system of bridge air conditioning system, and the control effect of traditional PID and the improved single neuron PID are compared. Simulation results
show that the improved algorithm can effectively improve the speed and stability of bridge air conditioning system, and has good application prospect.

Key words: single neuron PID, bridge air conditioning, simulation analysis