Simulation and Experiment Study of Neural Network PID Controller in Central Air-conditioning System

This paper studied the application of neural network PID in the central air-conditioning system. From the control viewpoint, the central air-conditioning system has chrematistic as large inertia, delay and nonlinear and uncertain disturbance factor, for example the indoor and outdoor. In order to acquire better performance in the central air-conditioning system, the neural network PID control was studied through comparing the traditional PID control in simulation and experiments. The output of system was predicted through the algorithm of nonlinear, at last based on the mathematical model of air-conditioning space, the simulation and the experiment in a studio of TV station have found that neural network PID controller has the capability of self-studying and self-adapting and obtain faster response and better performance