Simulation Study Of Neural Network PID Controller In Temperature Of Air Conditioning Spaces

With the development of intelligent buildings, the control algorithm and precision of the control system is gradually improved. After the 80's years the theory of artificial neural network (ANN) sprang up that is a new subject based on the structure and function of brain, which can be applied to the artificial intelligence, mode identification, simulation of biology and advanced control etc. It is attatched importance that artificial neural network is applied in the heating, ventilation and air conditioning field. The PID controller has many advantage such as simple structure, parameter of certain physical meaning, good dynamic and static characteristic and so on. The conventional PID is not also ignored. The combination of the broad-using PID controller and ANN is a way of intelligent control.Aimed at the temperature control of air conditioning system, this paper simulates and studies through the experiment on the algorithm of neural network PID control, and bring forward a mean that the best control combines neural network PID, which is adaptive to the control of temperature in the air conditioning system. Firstly, the digital simulation and analysis is to the neural network PID control; secondly through the MATLAB, the temperature control of air conditioning system is simulated and the combination of the best control and neural network PID control is put forward; at last the practicality and validity of neural network PID controller is proved by the experiment that the water temperature is controlled.