神经网络PID控制器在高大空间恒温空调系统中的应用

针对暖通空调领域中高大空间恒温空调系统大滞后、慢时变、非线性的特点以及不确定干扰因素多的实际情况，将具有自学习、自适应功能的神经网络PID控制器应用于空调系统中，并利用非线性辩识算法对控制过程进行预测输出，最后在空调房间数学模型的基础上通过Matlab环境下的计算机仿真和对某电视台大型演播室进行温度控制实验相结合，发现在高大空间恒温空调系统中神经网络PID控制响应快、超调小，验证了神经网络PID控制器的实用性和有效性．

Application of Neural Network PID Controller to the Constant Temperature Air Conditioning System in Tall and Big Space

In the constant temperature air conditioning system of tall and big spaces, the controlled object has large inertia, pure lag and nonlinear characteristic, and uncertain disturbance factors. In order to acquire better performance, the neural network PID controller that has the capability of self-studying and self-adapting was used in the air conditioning system. The output of system was predicted through the nonlinear algorithm. Finally based on the mathematical model of air conditioning space, and through the computer simulation in Matlab and the experiment in a tall and big space of TV station, it was found that this controller could obtain faster response and better performance, so the practicality and validity of this new controller used in air conditioning control were proved.