摘要
提出并设计了一种基于热电制冷器(TEC)的小型快速模糊神经网络温控系统。该系统的硬件由温度传感器、TEC及其驱动器和微控制器组成;系统的软件设计采用模糊推理系统和神经网络相结合,通过控制脉冲宽度调制(PWM)发生器输出合适的波形,驱动TEC制冷或者制热。仿真试验结果表明:该系统较传统的比例-积分-微分(PID)温度控制器具有更加良好的控制效果。
A fuzzy neural network temperature-control system based on thermoelectric cooler(TEC)was proposed and designed. The hardware of this system consisted of temperature sensor, microcontroller,thermoelectric cooler and its driver.The software of this system adopted fuzzy control algorithm and neural network algorithm.The output of the fuzzy neural network(FNN)was loaded into the MCU to control the PWM waveform generator,which could generate suitable waveform to drive the TEC.Simulations of the system show that the proposed FNN temperature-control system had better performance than the conventional PID controller.
出处
《理化检验（物理分册）》
CAS
2014年第12期878-881,共4页
Physical Testing and Chemical Analysis(Part A:Physical Testing)
基金
国际合作资助项目(BZ2010060)
教育部博士点(博导类)专项基金资助项目(20093218110024)
中国博士后基金资助项目(2013M531346)
江苏省博士后基金资助项目(1201002B)
江苏省光谱成像与智能感知重点实验室开放基金资助项目(30920130122003)
关键词
模糊神经网络
温控系统
热电制冷器
fuzzy neural network
temperature control system
thermoelectric cooler(TEC)
