摘要
为解决电力系统密闭配电柜内恒温恒湿的问题,针对配电柜温湿度控制系统,设计一种以DSP为处理器,基于模糊神经网络的PID控制器,用于温湿度控制系统。分析了配电柜温湿度控制器的组成,综合模糊控制和神经网络的优点,将神经网络、模糊控制和PID相融合,通过MATLAB软件对系统进行仿真,结果表明,该系统比普通温湿度控制系统具有更好的动态特性。
It is very important for power networks to keep constant temperature and humidity in the obturated switchgear, so this paper designs a new kind of constant temperature and humidity control system taking a digital signal processor as the processor and based on fuzzy neural network PID controller. Analysis was made to the composition of constant temperature and humidity controller. In order to overcome PID control disadvantages of traditional temperature and humidity controller, a new kind of control strategy, which was a combination of fuzzy neural network control and PID control, was adopted in software design. The simulative results in Matlab show that the system has better dynamic behavior and can fully meet the engineering need.
出处
《电工电气》
2011年第4期45-47,共3页
Electrotechnics Electric
关键词
温度
湿度
模糊神经网络
PID控制算法
数字信号处理器
temperature
humidity
fuzzy neural network
PID control algorithms
digital signal processor
