摘要： 针对用传统PID方法设计的暖体假人温控制系统存在参数难以整定、调整,试验效率较低的情况,将自适应模糊控制技术与神经网络技术相结合,提出了一种自适应神经模糊控制器的实现方法,并结合一种改进的快速BP算法来训练网络,设计了暖体假人温控制系统,实验结果表明该系统有效地缩短了服装热学性能的试验时间,提高了实验精度和实验效率。

关键词: 暖体假人, 自适应模糊控制, BP算法, 神经网络

Abstract: Considering temperature control system of thermal manikin by tradition PID method with parameter difficult to setting, adjust and lower efficiency, this paper combines adaptive fuzzy control with neural networks, puts forward an implementation method of adaptive neuro fuzzy controllers, and trains the networks combining with an improved fast BP algorithm. Devising the thermal manikin temperature control system, experiment result shows this system can shorten experiment time availability and advance precision.

中图分类号: 

• TP273