Study on the Elman Neural Network Operation Control Strategy of the Central Air Conditioning Chilled Water System

摘要

The stable operation of the central air conditioning water system always is a major difficulty for the control profession. Paper focus on the water system with multi variable, strong coupling, nonlinear, large time delay characteristics, presented use feedforward coupling compensation method, to eliminate the coupling effect between temperature and pressure. In this paper, the Elman neural network controller is designed for the first time, and the simulation results show that the response time of Elman neural network controller is more shorter, the system is more stable and the overshoot is small